ASUS System Product Name
Geekbench ML Score
2781
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 09:23 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 STRIX B550-F GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1278
239.2 IPS |
|
|
Image Classification (F16)
|
100% |
1276
238.7 IPS |
|
|
Image Classification (I8)
|
99% |
1050
196.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1392
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1182
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
12322
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12319
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10103
12.2 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1231
91.9 IPS |
|
|
Object Detection (I8)
|
67% |
1037
77.4 IPS |
|
|
Face Detection (F32)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (F16)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (I8)
|
89% |
2013
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6812
52.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6953
53.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
5295
41.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21825
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21754
28.6 IPS |
|
|
Style Transfer (I8)
|
98% |
16935
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4419
157.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4495
160.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3052
109.0 IPS |
|
|
Text Classification (F32)
|
100% |
966
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
960
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
653
939.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1675
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1685
31.0 IPS |
|
|
Machine Translation (I8)
|
69% |
833
15.3 IPS |
