Gigabyte Technology Co., Ltd. AB350-Gaming
Geekbench ML Score
1170
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:10 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AB350-Gaming |
| Motherboard | Gigabyte Technology Co., Ltd. AB350-Gaming-CF |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
676
126.5 IPS |
|
|
Image Classification (F16)
|
100% |
703
131.5 IPS |
|
|
Image Classification (I8)
|
97% |
824
154.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
441
7.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
452
7.55 IPS |
|
|
Image Segmentation (I8)
|
97% |
750
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2100
2.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
2107
2.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2061
2.50 IPS |
|
|
Object Detection (F32)
|
100% |
715
53.4 IPS |
|
|
Object Detection (F16)
|
100% |
721
53.8 IPS |
|
|
Object Detection (I8)
|
60% |
597
44.6 IPS |
|
|
Face Detection (F32)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1443
17.2 IPS |
|
|
Face Detection (I8)
|
87% |
1641
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2555
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2588
20.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
2486
19.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5182
6.82 IPS |
|
|
Style Transfer (F16)
|
100% |
5331
7.01 IPS |
|
|
Style Transfer (I8)
|
85% |
4815
6.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1038
37.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1021
36.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
936
33.4 IPS |
|
|
Text Classification (F32)
|
100% |
631
907.6 IPS |
|
|
Text Classification (F16)
|
100% |
624
896.6 IPS |
|
|
Text Classification (I8)
|
94% |
239
344.1 IPS |
|
|
Machine Translation (F32)
|
100% |
934
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
981
18.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1058
19.5 IPS |
