MSI MS-7A71
Geekbench AI Score
1031
Single Precision Score
1024
Half Precision Score
601
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ajoe04 |
| Upload Date | December 26 2024 09:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.10 |
| Model | MSI MS-7A71 |
| Motherboard | MSI Z270-A PRO (MS-7A71) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (HP)
|
100% |
786
146.1 IPS |
|
|
Image Classification (Q)
|
99% |
367
68.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
1083
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
85% |
424
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1252
9.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
766
7.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1530
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1597
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
2114
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
1111
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
340
456.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
58% |
269
6.32 IPS |
