ASUS System Product Name
Geekbench ML Score
21153
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2024 05:43 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% |
12146
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
12137
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
9863
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13964
233.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14046
234.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12846
214.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
233011
282.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
238338
288.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
212362
257.2 IPS |
|
|
Object Detection (F32)
|
100% |
5343
398.9 IPS |
|
|
Object Detection (F16)
|
100% |
5052
377.2 IPS |
|
|
Object Detection (I8)
|
56% |
4633
345.9 IPS |
|
|
Face Detection (F32)
|
100% |
39200
466.1 IPS |
|
|
Face Detection (F16)
|
100% |
40045
476.1 IPS |
|
|
Face Detection (I8)
|
88% |
33728
401.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
66346
514.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65939
511.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
51722
401.1 IPS |
|
|
Style Transfer (F32)
|
100% |
229664
302.1 IPS |
|
|
Style Transfer (F16)
|
100% |
224628
295.5 IPS |
|
|
Style Transfer (I8)
|
98% |
208303
274.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22732
811.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22962
820.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17696
632.0 IPS |
|
|
Text Classification (F32)
|
100% |
3389
4.87 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1929
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4182
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2324
42.8 IPS |
