ASUS System Product Name
Geekbench ML Score
23087
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 09:30 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
13293
2.49 KIPS |
|
|
Image Classification (F16)
|
100% |
13025
2.44 KIPS |
|
|
Image Classification (I8)
|
100% |
12340
2.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14086
235.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13951
233.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
13336
222.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
235725
285.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
259389
314.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
235382
285.0 IPS |
|
|
Object Detection (F32)
|
100% |
5841
436.1 IPS |
|
|
Object Detection (F16)
|
100% |
5827
435.0 IPS |
|
|
Object Detection (I8)
|
56% |
4844
361.7 IPS |
|
|
Face Detection (F32)
|
100% |
42726
508.0 IPS |
|
|
Face Detection (F16)
|
100% |
42467
504.9 IPS |
|
|
Face Detection (I8)
|
88% |
36393
432.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
69558
539.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
69701
540.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
54865
425.5 IPS |
|
|
Style Transfer (F32)
|
100% |
231562
304.6 IPS |
|
|
Style Transfer (F16)
|
100% |
227399
299.1 IPS |
|
|
Style Transfer (I8)
|
98% |
216957
285.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25034
894.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23688
846.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18960
677.1 IPS |
|
|
Text Classification (F32)
|
100% |
3872
5.56 KIPS |
|
|
Text Classification (F16)
|
100% |
4094
5.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2659
3.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
4587
84.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4584
84.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2997
55.1 IPS |
