Gigabyte Technology Co., Ltd. AB350M-Gaming 3
Geekbench ML Score
1095
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 25 2024 12:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350M-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AB350M-Gaming 3-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 64.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 8.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
644
120.5 IPS |
|
|
Image Classification (F16)
|
100% |
655
122.5 IPS |
|
|
Image Classification (I8)
|
97% |
801
149.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
431
7.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
436
7.29 IPS |
|
|
Image Segmentation (I8)
|
97% |
724
12.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1977
2.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
2098
2.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
2050
2.48 IPS |
|
|
Object Detection (F32)
|
100% |
672
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
697
52.0 IPS |
|
|
Object Detection (I8)
|
60% |
439
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (I8)
|
87% |
1448
17.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2398
18.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2412
18.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
2416
18.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5059
6.66 IPS |
|
|
Style Transfer (F16)
|
100% |
5044
6.63 IPS |
|
|
Style Transfer (I8)
|
85% |
4634
6.10 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1044
37.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
984
35.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
934
33.4 IPS |
|
|
Text Classification (F32)
|
100% |
621
892.6 IPS |
|
|
Text Classification (F16)
|
100% |
572
821.8 IPS |
|
|
Text Classification (I8)
|
94% |
217
312.0 IPS |
|
|
Machine Translation (F32)
|
100% |
880
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
887
16.3 IPS |
|
|
Machine Translation (I8)
|
67% |
994
18.3 IPS |
