MSI MS-7817
Geekbench AI Score
1561
Single Precision Score
814
Half Precision Score
1841
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4590 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MSI MS-7817 |
| Motherboard | MSI B85M-E45 (MS-7817) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4590 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (Q)
|
96% |
1307
244.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
1618
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
2913
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
1157
91.7 IPS |
|
|
Object Detection (HP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (Q)
|
58% |
968
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
96% |
2905
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3215
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1174
9.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
3228
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5921
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
4885
6.28 IPS |
|
|
Style Transfer (Q)
|
87% |
5690
7.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1494
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
527
703.3 IPS |
|
|
Text Classification (Q)
|
97% |
783
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1206
23.3 IPS |
