MouseComputer Co.,Ltd. B85H3-M4
Geekbench AI Score
1418
Single Precision Score
722
Half Precision Score
1609
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 02:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4460 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MouseComputer Co.,Ltd. B85H3-M4 |
| Motherboard | MouseComputer Co.,Ltd. B85H3-M4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4460 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1042
193.7 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
1178
220.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
1328
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1872
2.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
2538
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
58% |
830
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
96% |
2571
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2655
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
2774
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5252
6.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4290
5.51 IPS |
|
|
Style Transfer (Q)
|
87% |
5131
6.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1291
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.1 IPS |
|
|
Text Classification (Q)
|
97% |
695
931.2 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1075
20.8 IPS |
