CZNull Testing Suite: Complete GPU Benchmark Collection

Comprehensive Testing Suite Overview

A complete benchmarking suite goes beyond single tests, providing a holistic view of GPU performance across multiple workload types. This guide explores the complete testing methodology, explaining each benchmark type, what it measures, and how to interpret results for real-world performance prediction.

Test Suite Architecture

Core Test Categories

Professional benchmarking divides GPU testing into distinct categories:

Test Category	Primary Focus	Real-World Application	Weight in Score
Rendering Tests	Graphics rendering speed	Gaming, 3D visualization	35%
Compute Tests	Parallel processing	AI, video encoding, simulations	25%
Memory Tests	Bandwidth, latency	High-resolution textures, large datasets	20%
Stress Tests	Sustained performance	Extended gaming, rendering jobs	15%
Specialized Tests	Specific features	Ray tracing, tessellation, etc.	5%

Rendering Performance Tests

Triangle Throughput Test

Measures how many triangles your GPU can process per second:

Test Parameters:
- Triangle count: 1M to 50M polygons
- Complexity: Simple flat shading
- Duration: 60 seconds
- Metric: Average triangles/second

Typical Results:
Entry GPU (GTX 1650):     8.2M triangles/sec
Mid-Range (RTX 3060):     24.5M triangles/sec
High-End (RTX 4080):      52.8M triangles/sec
Enthusiast (RTX 4090):    68.3M triangles/sec

Gaming Relevance:
- 15M+: Handles most games at 1080p 60 FPS
- 30M+: Smooth 1440p high refresh rate
- 50M+: 4K gaming with complex scenes

Shader Complexity Test

Evaluates performance with complex pixel shaders:

Shader Type	Instructions	Use Case
Simple	50-100	Indie games, mobile ports
Medium	200-400	Modern AAA games
Complex	600-1000	Photorealistic rendering, ray tracing
Extreme	1500+	Professional visualization, film

Fill Rate Test

Tests pixel rendering throughput:

Test Configuration:
Resolution: 3840x2160 (4K)
Overdraw: 4x (simulates layered effects)
Effects: Blending, depth testing

Benchmark Results by GPU:
GTX 1060:    45.2 Gpixels/sec
RTX 2070:    68.5 Gpixels/sec
RTX 3080:    112.8 Gpixels/sec
RTX 4090:    184.3 Gpixels/sec

Real-World Performance Correlation:
60+ Gpixels/sec:  1080p 144 FPS
100+ Gpixels/sec: 1440p 144 FPS or 4K 60 FPS
150+ Gpixels/sec: 4K 120 FPS capable

Compute Performance Tests

Parallel Processing Test

Measures GPGPU compute capabilities:

Test Workload: Matrix multiplication (4096x4096)

Performance by Architecture:
NVIDIA Pascal (GTX 1080):     8.2 TFLOPS
NVIDIA Turing (RTX 2080):     10.1 TFLOPS
NVIDIA Ampere (RTX 3080):     29.8 TFLOPS
NVIDIA Ada (RTX 4080):        48.7 TFLOPS

AMD RDNA 2 (RX 6800 XT):      20.7 TFLOPS
AMD RDNA 3 (RX 7900 XTX):     61.4 TFLOPS

Applications:
- Video encoding: 20+ TFLOPS for real-time 4K
- AI inference: 30+ TFLOPS for stable diffusion
- Scientific simulation: 40+ TFLOPS for complex models

Compute Shader Efficiency

Tests compute shader performance with various workload sizes:

Workload Size	Thread Groups	Best For
Small (64x64)	16	Low-latency tasks
Medium (512x512)	1,024	Image processing
Large (2048x2048)	16,384	Scientific computing
Massive (4096x4096)	65,536	Deep learning training

Memory Performance Tests

Memory Bandwidth Test

Measures data transfer rates:

Test Method: Copy 4 GB of data between GPU buffers

Results by GPU Generation:
DDR5 (iGPU):          68 GB/s
GDDR5 (GTX 1060):     192 GB/s
GDDR6 (RTX 3060):     360 GB/s
GDDR6X (RTX 3080):    760 GB/s
GDDR6X (RTX 4090):    1,008 GB/s
HBM2 (AMD MI100):     1,230 GB/s

Bandwidth Requirements:
1080p gaming:     100-200 GB/s
1440p gaming:     250-400 GB/s
4K gaming:        500-700 GB/s
8K textures:      800+ GB/s
Professional 3D:  1,000+ GB/s

Texture Sampling Performance

Tests texture reading efficiency:

Texture Size	Format	Samples/Frame	Performance Impact
512x512	DXT1	100M	Minimal
2048x2048	DXT5	500M	Low
4096x4096	BC7	2B	Medium
8192x8192	Uncompressed	8B	High

Stress and Stability Tests

Sustained Load Test

30-minute stress test monitoring thermal behavior:

Thermal Throttling Analysis:

Example: RTX 3070 with Stock Cooling
Time    Temp    Clock    Power   FPS     % of Peak
0min    45°C    1920MHz  220W    120     100%
5min    68°C    1920MHz  220W    120     100%
10min   78°C    1890MHz  215W    118     98%
15min   84°C    1800MHz  205W    113     94%
20min   87°C    1740MHz  195W    109     91%
30min   88°C    1710MHz  190W    107     89%

Grade: B+ (minimal throttling, acceptable)

Example: Same GPU with Upgraded Cooling
Time    Temp    Clock    Power   FPS     % of Peak
0min    42°C    1920MHz  220W    120     100%
30min   65°C    1920MHz  220W    120     100%

Grade: A+ (zero throttling)

Power Efficiency Test

Performance per watt comparison:

GPU	Performance Score	Power Draw	Efficiency (pts/W)
RTX 3050	4,200	130W	32.3
RTX 3060	5,800	170W	34.1
RTX 4070	9,200	200W	46.0
RTX 4090	15,200	450W	33.8

Insight: RTX 4070 offers best efficiency, while RTX 4090 sacrifices efficiency for raw performance.

Specialized Feature Tests

Ray Tracing Performance

Tests hardware ray tracing capabilities:

Test Scene: Cornell Box with Global Illumination
Rays per pixel: 4 (primary + shadows + reflections)
Resolution: 1920x1080

Results without RT Cores (Software):
GTX 1080 Ti:  12 FPS (100% GPU, extremely slow)

Results with RT Cores (Hardware):
RTX 2060:     28 FPS (RT Gen 2)
RTX 3070:     52 FPS (RT Gen 3)
RTX 4070:     88 FPS (RT Gen 4)
RTX 4080:     142 FPS (RT Gen 4, more cores)

Conclusion: Hardware RT is 5-10x faster than software

Tessellation Test

Evaluates geometry subdivision performance:

Tessellation Factor	Input Triangles	Output Triangles	FPS (RTX 3070)
2x	100K	400K	165
4x	100K	1.6M	145
8x	100K	6.4M	98
16x	100K	25.6M	52

Understanding the Scoring System

Weighted Composite Score

How individual tests combine into overall score:

Score Calculation Example:

Test Results:
- Rendering: 8,500 points × 0.35 weight = 2,975
- Compute: 7,200 points × 0.25 weight = 1,800
- Memory: 6,800 points × 0.20 weight = 1,360
- Stress: 8,100 points × 0.15 weight = 1,215
- Specialized: 5,500 points × 0.05 weight = 275

Overall Score: 7,625 points

Score Interpretation:
< 3,000:   Entry-level, basic tasks
3,000-5,000: Budget gaming (1080p)
5,000-8,000: Mid-range gaming (1440p)
8,000-12,000: High-end gaming (4K/high refresh)
> 12,000:    Enthusiast/professional

Percentile Rankings

Compare your score against the database:

Percentile	Score Range	Description
Top 1%	13,500+	RTX 4090, extreme hardware
Top 5%	11,000-13,500	RTX 4080, high-end builds
Top 25%	7,500-11,000	RTX 4070/3080, enthusiast
Median (50%)	5,200-7,500	RTX 3060/4060, mainstream
Bottom 25%	2,800-5,200	GTX 1660/1650, budget

Running the Complete Suite

Pre-Test Checklist

System Preparation:
☑ Update GPU drivers to latest version
☑ Close all background applications
☑ Set Windows power plan to "High Performance"
☑ Disable overlays (Discord, GeForce Experience, etc.)
☑ Clean GPU fans/heatsink if dusty
☑ Ensure adequate ventilation
☑ Stable internet connection (for WebGL tests)
☑ Use primary monitor at native resolution

Environmental Factors:
☑ Room temperature: 20-25°C optimal
☑ Consistent ambient temperature
☑ No direct sunlight on PC case
☑ Adequate clearance for airflow (10cm minimum)

Test Execution Timeline

Complete suite takes ~30 minutes:

00:00 - 00:02  System initialization
00:02 - 00:08  Rendering tests (6 minutes)
00:08 - 00:13  Compute tests (5 minutes)
00:13 - 00:17  Memory tests (4 minutes)
00:17 - 00:27  Stress test (10 minutes)
00:27 - 00:30  Specialized tests (3 minutes)
00:30 - 00:31  Score calculation and reporting

Total: 31 minutes for complete benchmark suite

Interpreting Your Results

Identifying Performance Bottlenecks

Scenario 1: Balanced Performance
Rendering:   8,200 (Good)
Compute:     7,800 (Good)
Memory:      8,500 (Good)
Stress:      8,100 (Good)
Specialized: 7,900 (Good)
→ Analysis: Well-balanced GPU, no bottlenecks

Scenario 2: Memory Bottleneck
Rendering:   8,500 (Good)
Compute:     8,200 (Good)
Memory:      4,800 (Poor) ← Problem!
Stress:      5,200 (Poor)
Specialized: 8,100 (Good)
→ Analysis: Insufficient VRAM or slow memory
→ Solution: Reduce texture quality, lower resolution

Scenario 3: Thermal Throttling
Rendering:   9,200 (Excellent)
Compute:     9,000 (Excellent)
Memory:      8,800 (Good)
Stress:      6,100 (Poor) ← Drops over time
Specialized: 8,900 (Good)
→ Analysis: Overheating during sustained load
→ Solution: Improve cooling, repaste GPU, increase fan speed

Conclusion: Leveraging Complete Suite Data

A comprehensive benchmarking suite provides insights no single test can reveal:

• ✓ Balanced performance: Identify weak areas before they impact real workloads
• ✓ Thermal behavior: Understand long-term stability under load
• ✓ Use case optimization: Match GPU capabilities to your specific needs
• ✓ Upgrade guidance: Determine whether CPU, GPU, or cooling needs improvement
• ✓ Troubleshooting: Pinpoint performance issues with precision

Best Practices:

1. Run complete suite 3 times, average the results
2. Monitor temperatures throughout all tests
3. Compare individual test scores, not just overall
4. Benchmark before and after system changes
5. Keep results for long-term performance tracking
6. Share results with community for database improvement

The complete suite reveals your GPU's true capabilities across all workload types, providing the data needed for informed decisions about settings, upgrades, and troubleshooting.