MSI MS-7817
Geekbench AI Score
1077
Single Precision Score
612
Half Precision Score
1221
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | December 13 2024 06:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4460 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7817 |
| Motherboard | MSI B85M-E45 (MS-7817) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4460 |
| 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 | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.1 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
96% |
1079
201.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
789
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
2597
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (Q)
|
58% |
756
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.08 IPS |
|
|
Face Detection (Q)
|
96% |
2143
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2200
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
935
7.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
2656
21.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4475
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
4132
5.31 IPS |
|
|
Style Transfer (Q)
|
87% |
3808
4.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
928
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.5 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.4 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
68% |
711
13.7 IPS |
