ASUS System Product Name
Geekbench ML Score
21001
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2025 06:01 AM |
| Views | 5 |
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% |
12058
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12026
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9801
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13961
233.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13371
223.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12601
210.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
235887
285.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
239464
290.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
202942
245.8 IPS |
|
|
Object Detection (F32)
|
100% |
4634
345.9 IPS |
|
|
Object Detection (F16)
|
100% |
5596
417.8 IPS |
|
|
Object Detection (I8)
|
56% |
4866
363.2 IPS |
|
|
Face Detection (F32)
|
100% |
40402
480.4 IPS |
|
|
Face Detection (F16)
|
100% |
40474
481.2 IPS |
|
|
Face Detection (I8)
|
88% |
34001
404.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
64993
504.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
64639
501.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51211
397.1 IPS |
|
|
Style Transfer (F32)
|
100% |
215442
283.4 IPS |
|
|
Style Transfer (F16)
|
100% |
225167
296.2 IPS |
|
|
Style Transfer (I8)
|
98% |
202297
266.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23144
826.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23243
830.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17490
624.6 IPS |
|
|
Text Classification (F32)
|
100% |
3379
4.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1906
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4084
75.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4151
76.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2342
43.1 IPS |
