Generic
Geekbench ML Score
8650
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 31 2024 01:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 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 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | ASUS Radeon RX Vega |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4744
887.7 IPS |
|
|
Image Classification (F16)
|
100% |
4759
890.5 IPS |
|
|
Image Classification (I8)
|
100% |
3780
707.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4864
81.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4857
81.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4226
70.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
73174
88.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
71334
86.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63258
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
2498
186.5 IPS |
|
|
Object Detection (F16)
|
100% |
2488
185.8 IPS |
|
|
Object Detection (I8)
|
66% |
2188
163.4 IPS |
|
|
Face Detection (F32)
|
100% |
13983
166.3 IPS |
|
|
Face Detection (F16)
|
100% |
14192
168.7 IPS |
|
|
Face Detection (I8)
|
89% |
10957
130.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
26799
207.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
25881
200.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
19183
148.8 IPS |
|
|
Style Transfer (F32)
|
100% |
100038
131.6 IPS |
|
|
Style Transfer (F16)
|
100% |
99981
131.5 IPS |
|
|
Style Transfer (I8)
|
98% |
80257
105.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11701
417.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11794
421.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8219
293.5 IPS |
|
|
Text Classification (F32)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1507
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
896
1.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
2253
41.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2269
41.7 IPS |
|
|
Machine Translation (I8)
|
69% |
1230
22.6 IPS |
