System manufacturer System Product Name
Geekbench ML Score
2508
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 08:21 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| 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% |
1152
215.5 IPS |
|
|
Image Classification (F16)
|
100% |
1157
216.6 IPS |
|
|
Image Classification (I8)
|
99% |
957
179.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1248
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1068
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10293
12.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
10298
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8636
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1225
91.4 IPS |
|
|
Object Detection (F16)
|
100% |
1199
89.5 IPS |
|
|
Object Detection (I8)
|
67% |
1037
77.4 IPS |
|
|
Face Detection (F32)
|
100% |
2501
29.7 IPS |
|
|
Face Detection (F16)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (I8)
|
89% |
1943
23.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5648
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5653
43.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
4490
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17735
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
17723
23.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14541
19.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4264
152.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4212
150.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2849
101.8 IPS |
|
|
Text Classification (F32)
|
100% |
899
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (I8)
|
98% |
580
834.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1484
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1486
27.3 IPS |
|
|
Machine Translation (I8)
|
69% |
773
14.2 IPS |
