ASUS System Product Name
Geekbench ML Score
20887
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 04 2025 05:07 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% |
11989
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
12010
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9893
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13665
228.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13641
227.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12495
208.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
234301
283.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
229502
277.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
216363
262.0 IPS |
|
|
Object Detection (F32)
|
100% |
4690
350.1 IPS |
|
|
Object Detection (F16)
|
100% |
5453
407.1 IPS |
|
|
Object Detection (I8)
|
56% |
4648
347.0 IPS |
|
|
Face Detection (F32)
|
100% |
40144
477.3 IPS |
|
|
Face Detection (F16)
|
100% |
39359
468.0 IPS |
|
|
Face Detection (I8)
|
88% |
33385
397.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
63170
489.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65291
506.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
47560
368.8 IPS |
|
|
Style Transfer (F32)
|
100% |
218508
287.4 IPS |
|
|
Style Transfer (F16)
|
100% |
228334
300.4 IPS |
|
|
Style Transfer (I8)
|
98% |
205080
269.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23453
837.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22950
819.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17630
629.6 IPS |
|
|
Text Classification (F32)
|
100% |
3479
5.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3449
4.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1923
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4074
75.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4060
74.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2246
41.3 IPS |
