ASUS System Product Name
Geekbench ML Score
22394
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 10:34 AM |
| Views | 8 |
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% |
10264
1.92 KIPS |
|
|
Image Classification (F16)
|
100% |
10242
1.92 KIPS |
|
|
Image Classification (I8)
|
100% |
8332
1.56 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16914
282.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
16933
282.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
15494
258.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
202917
245.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
202083
244.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
190573
230.8 IPS |
|
|
Object Detection (F32)
|
100% |
7016
523.8 IPS |
|
|
Object Detection (F16)
|
100% |
6990
521.9 IPS |
|
|
Object Detection (I8)
|
56% |
6409
478.4 IPS |
|
|
Face Detection (F32)
|
100% |
35920
427.1 IPS |
|
|
Face Detection (F16)
|
100% |
35822
425.9 IPS |
|
|
Face Detection (I8)
|
88% |
30509
362.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
55707
432.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
56673
439.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
47210
366.1 IPS |
|
|
Style Transfer (F32)
|
100% |
347004
456.5 IPS |
|
|
Style Transfer (F16)
|
100% |
344270
452.9 IPS |
|
|
Style Transfer (I8)
|
98% |
314377
413.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38269
1.37 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
37333
1.33 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26272
938.2 IPS |
|
|
Text Classification (F32)
|
100% |
2952
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2853
4.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1626
2.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
3876
71.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3846
70.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1987
36.6 IPS |
