ASUS System Product Name
Geekbench ML Score
21181
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 05 2024 05:12 AM |
| Views | 2 |
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% |
12400
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12314
2.30 KIPS |
|
|
Image Classification (I8)
|
100% |
10194
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14081
235.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14030
234.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12888
215.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
229215
277.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
230642
279.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
220335
266.8 IPS |
|
|
Object Detection (F32)
|
100% |
4989
372.5 IPS |
|
|
Object Detection (F16)
|
100% |
5150
384.5 IPS |
|
|
Object Detection (I8)
|
56% |
4195
313.2 IPS |
|
|
Face Detection (F32)
|
100% |
39304
467.3 IPS |
|
|
Face Detection (F16)
|
100% |
39363
468.0 IPS |
|
|
Face Detection (I8)
|
88% |
33105
393.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
63886
495.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64859
503.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
50246
389.7 IPS |
|
|
Style Transfer (F32)
|
100% |
233874
307.6 IPS |
|
|
Style Transfer (F16)
|
100% |
228433
300.5 IPS |
|
|
Style Transfer (I8)
|
98% |
208473
274.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23689
846.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24656
880.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18200
650.0 IPS |
|
|
Text Classification (F32)
|
100% |
3414
4.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3501
5.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1966
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
4195
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4186
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2317
42.6 IPS |
