X370 Taichi
Geekbench ML Score
10221
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 03:27 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X370 Taichi |
| Motherboard | ASRock X370 Taichi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 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 | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Frankenstein |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5322
995.8 IPS |
|
|
Image Classification (F16)
|
100% |
5323
996.0 IPS |
|
|
Image Classification (I8)
|
100% |
3963
741.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
7864
131.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7694
128.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
6029
100.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
55127
66.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
55440
67.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
46511
56.3 IPS |
|
|
Object Detection (F32)
|
100% |
4350
324.7 IPS |
|
|
Object Detection (F16)
|
100% |
3814
284.7 IPS |
|
|
Object Detection (I8)
|
63% |
3105
231.8 IPS |
|
|
Face Detection (F32)
|
100% |
14952
177.8 IPS |
|
|
Face Detection (F16)
|
100% |
14954
177.8 IPS |
|
|
Face Detection (I8)
|
89% |
11306
134.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
29302
227.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
27812
215.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
22709
176.1 IPS |
|
|
Style Transfer (F32)
|
100% |
112633
148.2 IPS |
|
|
Style Transfer (F16)
|
100% |
92857
122.1 IPS |
|
|
Style Transfer (I8)
|
98% |
84045
110.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18772
670.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17004
607.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11087
396.0 IPS |
|
|
Text Classification (F32)
|
100% |
1604
2.31 KIPS |
|
|
Text Classification (F16)
|
100% |
1518
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1153
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
3169
58.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3190
58.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1558
28.7 IPS |
