ASUS System Product Name
Geekbench ML Score
26963
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 18 2024 06:42 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11768
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11690
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
9936
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
17875
298.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
18035
301.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
16993
283.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
293834
355.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
295496
357.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
253926
307.5 IPS |
|
|
Object Detection (F32)
|
100% |
6954
519.2 IPS |
|
|
Object Detection (F16)
|
100% |
7066
527.5 IPS |
|
|
Object Detection (I8)
|
54% |
6672
498.1 IPS |
|
|
Face Detection (F32)
|
100% |
41271
490.7 IPS |
|
|
Face Detection (F16)
|
100% |
40779
484.9 IPS |
|
|
Face Detection (I8)
|
88% |
35643
423.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
80626
625.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
81784
634.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
64272
498.4 IPS |
|
|
Style Transfer (F32)
|
100% |
488111
642.1 IPS |
|
|
Style Transfer (F16)
|
100% |
480764
632.4 IPS |
|
|
Style Transfer (I8)
|
98% |
402338
529.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
50086
1.79 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
50289
1.80 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38644
1.38 KIPS |
|
|
Text Classification (F32)
|
100% |
2685
3.86 KIPS |
|
|
Text Classification (F16)
|
100% |
2660
3.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1729
2.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
4610
84.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4515
83.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2578
47.4 IPS |
