ASUS System Product Name
Geekbench ML Score
20989
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 09:22 AM |
| Views | 2 |
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% |
12215
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
11976
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
10000
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14264
238.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13826
230.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12364
206.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
238358
288.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
233770
283.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
207496
251.3 IPS |
|
|
Object Detection (F32)
|
100% |
4990
372.5 IPS |
|
|
Object Detection (F16)
|
100% |
5161
385.3 IPS |
|
|
Object Detection (I8)
|
56% |
4073
304.1 IPS |
|
|
Face Detection (F32)
|
100% |
39705
472.1 IPS |
|
|
Face Detection (F16)
|
100% |
39666
471.6 IPS |
|
|
Face Detection (I8)
|
88% |
33211
394.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
66276
514.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
64517
500.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51154
396.7 IPS |
|
|
Style Transfer (F32)
|
100% |
224699
295.6 IPS |
|
|
Style Transfer (F16)
|
100% |
217122
285.6 IPS |
|
|
Style Transfer (I8)
|
98% |
206213
271.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23328
833.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24899
889.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17753
634.0 IPS |
|
|
Text Classification (F32)
|
100% |
3349
4.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3360
4.83 KIPS |
|
|
Text Classification (I8)
|
98% |
1932
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4193
77.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2338
43.0 IPS |
