MSI MS-7A15
Geekbench AI Score
1529
Single Precision Score
743
Half Precision Score
1643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | eric5spot |
| Upload Date | March 04 2025 12:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7A15 |
| Motherboard | MSI H110M PRO-VH PLUS (MS-7A15) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.1 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
331
5.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1046
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2747
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1878
2.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
3794
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
58% |
1211
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
3443
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2606
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1262
9.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
4497
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6244
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (Q)
|
87% |
6977
9.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1517
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
226
301.3 IPS |
|
|
Text Classification (Q)
|
97% |
136
182.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (Q)
|
68% |
738
14.3 IPS |
