ASUS System Product Name
Geekbench ML Score
21140
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 29 2025 05:17 AM |
| Views | 11 |
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% |
11720
2.19 KIPS |
|
|
Image Classification (F16)
|
100% |
11795
2.21 KIPS |
|
|
Image Classification (I8)
|
100% |
9561
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14344
239.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14466
241.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13040
217.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
234287
283.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
237720
287.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
210742
255.2 IPS |
|
|
Object Detection (F32)
|
100% |
5341
398.8 IPS |
|
|
Object Detection (F16)
|
100% |
5141
383.8 IPS |
|
|
Object Detection (I8)
|
56% |
4547
339.5 IPS |
|
|
Face Detection (F32)
|
100% |
40181
477.8 IPS |
|
|
Face Detection (F16)
|
100% |
39907
474.5 IPS |
|
|
Face Detection (I8)
|
88% |
33557
399.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
62971
488.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
66379
514.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
49441
383.4 IPS |
|
|
Style Transfer (F32)
|
100% |
225468
296.6 IPS |
|
|
Style Transfer (F16)
|
100% |
228392
300.4 IPS |
|
|
Style Transfer (I8)
|
98% |
210503
276.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23323
832.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24437
872.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18358
655.6 IPS |
|
|
Text Classification (F32)
|
100% |
3384
4.86 KIPS |
|
|
Text Classification (F16)
|
100% |
3422
4.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1881
2.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
4199
77.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4127
75.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2272
41.8 IPS |
