Gigabyte Technology Co., Ltd. AB350-Gaming
Geekbench ML Score
1151
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 02:17 PM |
| Views | 1 |
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% |
674
126.0 IPS |
|
|
Image Classification (F16)
|
100% |
701
131.2 IPS |
|
|
Image Classification (I8)
|
97% |
833
155.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
445
7.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
438
7.32 IPS |
|
|
Image Segmentation (I8)
|
97% |
747
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2129
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
2105
2.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2067
2.50 IPS |
|
|
Object Detection (F32)
|
100% |
734
54.8 IPS |
|
|
Object Detection (F16)
|
100% |
493
36.8 IPS |
|
|
Object Detection (I8)
|
60% |
580
43.3 IPS |
|
|
Face Detection (F32)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (F16)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (I8)
|
87% |
1644
19.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2574
20.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2528
19.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
2451
19.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4963
6.53 IPS |
|
|
Style Transfer (F16)
|
100% |
4742
6.24 IPS |
|
|
Style Transfer (I8)
|
85% |
4614
6.07 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1080
38.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1026
36.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
942
33.6 IPS |
|
|
Text Classification (F32)
|
100% |
642
922.7 IPS |
|
|
Text Classification (F16)
|
100% |
640
920.2 IPS |
|
|
Text Classification (I8)
|
94% |
240
345.3 IPS |
|
|
Machine Translation (F32)
|
100% |
979
18.0 IPS |
|
|
Machine Translation (F16)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1051
19.3 IPS |
