ASUS System Product Name
Geekbench ML Score
21174
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 05:03 AM |
| Views | 6 |
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% |
11870
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
11933
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9727
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13985
233.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14051
234.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12752
213.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
238303
288.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
233202
282.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
206877
250.5 IPS |
|
|
Object Detection (F32)
|
100% |
5165
385.6 IPS |
|
|
Object Detection (F16)
|
100% |
5378
401.5 IPS |
|
|
Object Detection (I8)
|
56% |
4626
345.4 IPS |
|
|
Face Detection (F32)
|
100% |
40581
482.5 IPS |
|
|
Face Detection (F16)
|
100% |
40497
481.5 IPS |
|
|
Face Detection (I8)
|
88% |
33535
398.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
65503
508.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
67503
523.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
51451
399.0 IPS |
|
|
Style Transfer (F32)
|
100% |
225461
296.6 IPS |
|
|
Style Transfer (F16)
|
100% |
220950
290.6 IPS |
|
|
Style Transfer (I8)
|
98% |
213636
281.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22729
811.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22937
819.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17945
640.9 IPS |
|
|
Text Classification (F32)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3482
5.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1902
2.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
4180
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4188
77.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2341
43.1 IPS |
