Gigabyte Technology Co., Ltd. B450M S2H
Geekbench ML Score
2706
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1763
329.9 IPS |
|
|
Image Classification (F16)
|
100% |
1715
320.9 IPS |
|
|
Image Classification (I8)
|
97% |
3105
581.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1173
19.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1893
31.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5382
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
5397
6.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
11439
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1544
115.3 IPS |
|
|
Object Detection (F16)
|
100% |
1511
112.8 IPS |
|
|
Object Detection (I8)
|
60% |
1494
111.5 IPS |
|
|
Face Detection (F32)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1739
20.7 IPS |
|
|
Face Detection (I8)
|
87% |
2962
35.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5991
46.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5950
46.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
9423
73.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10893
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12505
16.4 IPS |
|
|
Style Transfer (I8)
|
85% |
12754
16.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2421
86.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2450
87.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2778
99.2 IPS |
|
|
Text Classification (F32)
|
100% |
1397
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1344
1.93 KIPS |
|
|
Text Classification (I8)
|
94% |
400
574.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1669
30.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1948
35.8 IPS |
