ASUS System Product Name
Geekbench ML Score
21040
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 25 2024 09:23 AM |
| Views | 4 |
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% |
12256
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12253
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9468
1.77 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13803
230.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13489
225.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12677
211.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
237857
288.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
251337
304.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
221167
267.8 IPS |
|
|
Object Detection (F32)
|
100% |
4681
349.4 IPS |
|
|
Object Detection (F16)
|
100% |
5124
382.6 IPS |
|
|
Object Detection (I8)
|
56% |
4860
362.8 IPS |
|
|
Face Detection (F32)
|
100% |
39738
472.5 IPS |
|
|
Face Detection (F16)
|
100% |
39830
473.6 IPS |
|
|
Face Detection (I8)
|
88% |
33458
397.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
66234
513.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
65166
505.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
51548
399.8 IPS |
|
|
Style Transfer (F32)
|
100% |
223742
294.3 IPS |
|
|
Style Transfer (F16)
|
100% |
226518
298.0 IPS |
|
|
Style Transfer (I8)
|
98% |
206358
271.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23722
847.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23029
822.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17382
620.8 IPS |
|
|
Text Classification (F32)
|
100% |
3249
4.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3300
4.74 KIPS |
|
|
Text Classification (I8)
|
98% |
1896
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
4176
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4122
75.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2323
42.7 IPS |
