MSI MS-7817
Geekbench AI Score
1485
Single Precision Score
768
Half Precision Score
1535
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sharg |
| Upload Date | November 06 2025 12:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4590 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7817 |
| Motherboard | MSI B85M-E45 (MS-7817) |
| Power Plan | Zrwnowaony |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1144
212.8 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
96% |
1186
221.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
1178
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2473
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
2769
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
1058
83.9 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
853
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
756
8.98 IPS |
|
|
Face Detection (Q)
|
96% |
2739
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2954
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
3003
24.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5537
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4538
5.83 IPS |
|
|
Style Transfer (Q)
|
87% |
5417
7.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1406
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
512
683.3 IPS |
|
|
Text Classification (Q)
|
97% |
319
427.8 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1105
21.4 IPS |
