ASUS System Product Name
Geekbench ML Score
21181
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 05:04 AM |
| Views | 1 |
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% |
11599
2.17 KIPS |
|
|
Image Classification (F16)
|
100% |
12072
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
9761
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13964
233.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
14066
234.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
13283
221.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
222574
269.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
234115
283.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
207350
251.1 IPS |
|
|
Object Detection (F32)
|
100% |
5460
407.6 IPS |
|
|
Object Detection (F16)
|
100% |
5433
405.6 IPS |
|
|
Object Detection (I8)
|
56% |
4647
346.9 IPS |
|
|
Face Detection (F32)
|
100% |
39108
465.0 IPS |
|
|
Face Detection (F16)
|
100% |
39734
472.4 IPS |
|
|
Face Detection (I8)
|
88% |
33815
402.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
64259
498.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
65729
509.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
50866
394.5 IPS |
|
|
Style Transfer (F32)
|
100% |
234117
308.0 IPS |
|
|
Style Transfer (F16)
|
100% |
230709
303.5 IPS |
|
|
Style Transfer (I8)
|
98% |
209980
276.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23631
843.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24526
875.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18164
648.7 IPS |
|
|
Text Classification (F32)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3372
4.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1834
2.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
4115
75.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4160
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2336
43.0 IPS |
