SOYO SY-Classic B660M 2.5G
Geekbench AI Score
2217
Single Precision Score
1195
Half Precision Score
4597
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SOYO SY-Classic B660M 2.5G |
| Motherboard | SOYO SY-Classic B660M 2.5G |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (Q)
|
99% |
4705
877.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2998
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13648
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
3903
313.7 IPS |
|
|
Face Detection (SP)
|
100% |
3337
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1275
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
6455
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3989
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10541
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7704
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6300
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13146
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1323
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4752
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
508
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1702
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2603
52.3 IPS |
