System manufacturer System Product Name
Geekbench ML Score
7496
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 20 2024 01:22 PM |
| Views | 14 |
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 | 3.90 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 | NVIDIA Tesla P100-PCIE-16GB |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3624
678.2 IPS |
|
|
Image Classification (F16)
|
100% |
3638
680.8 IPS |
|
|
Image Classification (I8)
|
100% |
2597
485.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5705
95.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5295
88.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4051
67.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
38850
47.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
40699
49.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34515
41.8 IPS |
|
|
Object Detection (F32)
|
100% |
3136
234.1 IPS |
|
|
Object Detection (F16)
|
100% |
3183
237.6 IPS |
|
|
Object Detection (I8)
|
61% |
2614
195.2 IPS |
|
|
Face Detection (F32)
|
100% |
9350
111.2 IPS |
|
|
Face Detection (F16)
|
100% |
9364
111.3 IPS |
|
|
Face Detection (I8)
|
89% |
6694
79.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
20267
157.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
20245
157.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
14769
114.5 IPS |
|
|
Style Transfer (F32)
|
100% |
70960
93.3 IPS |
|
|
Style Transfer (F16)
|
100% |
71290
93.8 IPS |
|
|
Style Transfer (I8)
|
98% |
58476
76.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14890
531.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15039
537.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9498
339.2 IPS |
|
|
Text Classification (F32)
|
100% |
1544
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1547
2.22 KIPS |
|
|
Text Classification (I8)
|
98% |
898
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2354
43.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2336
43.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1119
20.6 IPS |
