Gigabyte Technology Co., Ltd. AX370-Gaming 5
Geekbench ML Score
1225
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AX370-Gaming 5 |
| Motherboard | Gigabyte Technology Co., Ltd. AX370-Gaming 5 |
| Power Plan | Balansert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 1700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
680
127.2 IPS |
|
|
Image Classification (F16)
|
100% |
681
127.4 IPS |
|
|
Image Classification (I8)
|
97% |
929
173.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
629
10.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
649
10.8 IPS |
|
|
Image Segmentation (I8)
|
97% |
859
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2351
2.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
2203
2.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
2522
3.05 IPS |
|
|
Object Detection (F32)
|
100% |
725
54.1 IPS |
|
|
Object Detection (F16)
|
100% |
716
53.5 IPS |
|
|
Object Detection (I8)
|
60% |
569
42.5 IPS |
|
|
Face Detection (F32)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (I8)
|
87% |
1814
21.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1884
14.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2541
19.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
2849
22.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5543
7.29 IPS |
|
|
Style Transfer (F16)
|
100% |
5362
7.05 IPS |
|
|
Style Transfer (I8)
|
85% |
5721
7.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1137
40.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
992
35.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1056
37.7 IPS |
|
|
Text Classification (F32)
|
100% |
536
769.9 IPS |
|
|
Text Classification (F16)
|
100% |
654
939.4 IPS |
|
|
Text Classification (I8)
|
94% |
224
321.5 IPS |
|
|
Machine Translation (F32)
|
100% |
899
16.5 IPS |
|
|
Machine Translation (F16)
|
100% |
903
16.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1028
18.9 IPS |
