MSI MS-7A67
Geekbench AI Score
1695
Single Precision Score
862
Half Precision Score
1966
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lemaru |
| Upload Date | January 26 2025 03:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MSI MS-7A67 |
| Motherboard | MSI B250I GAMING PRO AC (MS-7A67) |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.3 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2729
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2200
2.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
4584
5.42 IPS |
|
|
Object Detection (SP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
58% |
1231
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3480
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3422
26.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1280
9.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
4415
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6427
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
5090
6.54 IPS |
|
|
Style Transfer (Q)
|
87% |
7654
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1637
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
955
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
524
699.0 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
68% |
1240
24.0 IPS |
