System manufacturer System Product Name
Geekbench ML Score
1551
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | May 02 2025 10:53 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME A320M-K |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 4100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
970
181.5 IPS |
|
|
Image Classification (F16)
|
100% |
973
182.1 IPS |
|
|
Image Classification (I8)
|
97% |
1056
197.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
387
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
401
6.70 IPS |
|
|
Image Segmentation (I8)
|
97% |
1179
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2993
3.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
3118
3.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
3280
3.97 IPS |
|
|
Object Detection (F32)
|
100% |
930
69.5 IPS |
|
|
Object Detection (F16)
|
100% |
881
65.8 IPS |
|
|
Object Detection (I8)
|
60% |
849
63.4 IPS |
|
|
Face Detection (F32)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (I8)
|
87% |
1920
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3303
25.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3312
25.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
3685
28.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6723
8.84 IPS |
|
|
Style Transfer (F16)
|
100% |
6673
8.78 IPS |
|
|
Style Transfer (I8)
|
85% |
5818
7.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1467
52.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1382
49.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1388
49.6 IPS |
|
|
Text Classification (F32)
|
100% |
1096
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1076
1.55 KIPS |
|
|
Text Classification (I8)
|
94% |
819
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1074
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1094
20.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1269
23.4 IPS |
