MSI MS-7817
Geekbench AI Score
1471
Single Precision Score
1492
Half Precision Score
1964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | December 13 2024 06:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4460 CPU @ 3.20GHz |
| 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% |
870
161.8 IPS |
|
|
Image Classification (HP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (Q)
|
100% |
1272
236.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1262
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
2833
3.32 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (HP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (Q)
|
87% |
1288
103.3 IPS |
|
|
Face Detection (SP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
3184
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2581
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2587
19.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
3345
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6367
8.19 IPS |
|
|
Style Transfer (HP)
|
100% |
6371
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
8069
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1288
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1710
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
1521
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (Q)
|
91% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1089
18.8 IPS |
