MSI MS-7823
Geekbench AI Score
1462
Single Precision Score
757
Half Precision Score
1403
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Gigaherz |
| Upload Date | May 13 2025 09:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7823 |
| Motherboard | MSI H87M-G43 (MS-7823) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1161
215.9 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
96% |
1194
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2507
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
2723
3.22 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
681
74.4 IPS |
|
|
Face Detection (SP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
96% |
2694
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3045
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1106
8.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
3080
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5643
7.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4721
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
5456
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1085
40.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1090
40.4 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.7 IPS |
|
|
Text Classification (Q)
|
97% |
316
423.3 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.54 IPS |
|
|
Machine Translation (Q)
|
68% |
992
19.2 IPS |
