ASUS System Product Name
Geekbench ML Score
20831
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 21 2025 10:50 AM |
| Views | 3 |
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% |
11824
2.21 KIPS |
|
|
Image Classification (F16)
|
100% |
12226
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9916
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13859
231.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13549
226.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12383
206.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
228593
276.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
235624
285.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
209231
253.4 IPS |
|
|
Object Detection (F32)
|
100% |
4983
372.0 IPS |
|
|
Object Detection (F16)
|
100% |
5132
383.2 IPS |
|
|
Object Detection (I8)
|
56% |
4498
335.8 IPS |
|
|
Face Detection (F32)
|
100% |
38960
463.2 IPS |
|
|
Face Detection (F16)
|
100% |
40196
477.9 IPS |
|
|
Face Detection (I8)
|
88% |
33074
393.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
63699
494.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
63422
491.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
50449
391.2 IPS |
|
|
Style Transfer (F32)
|
100% |
222857
293.1 IPS |
|
|
Style Transfer (F16)
|
100% |
217155
285.6 IPS |
|
|
Style Transfer (I8)
|
98% |
205377
270.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23835
851.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22453
801.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17405
621.6 IPS |
|
|
Text Classification (F32)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1931
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4069
74.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4062
74.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2250
41.4 IPS |
