Micro-Star International Co., Ltd. MS-7D82
Geekbench AI Score
2275
Single Precision Score
2250
Half Precision Score
3812
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 08 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400F CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D82 |
| Motherboard | Micro-Star International Co., Ltd. PRO H410M-B (MS-7D82) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1825
339.4 IPS |
|
|
Image Classification (HP)
|
100% |
1796
334.1 IPS |
|
|
Image Classification (Q)
|
100% |
3133
582.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4050
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4052
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
8291
9.72 IPS |
|
|
Object Detection (SP)
|
100% |
1624
128.9 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (Q)
|
87% |
3154
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
7036
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4477
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4472
34.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
5722
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7453
9.58 IPS |
|
|
Style Transfer (HP)
|
100% |
7731
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
14418
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2964
109.8 IPS |
|
|
Text Classification (SP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1858
32.0 IPS |
