Micro-Star International Co., Ltd. MS-7D17
Geekbench AI Score
3394
Single Precision Score
3405
Half Precision Score
5114
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | stan115 |
| Upload Date | November 04 2024 03:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10400 CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D17 |
| Motherboard | Micro-Star International Co., Ltd. MAG B560M MORTAR (MS-7D17) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2237
416.1 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.7 IPS |
|
|
Image Classification (Q)
|
100% |
3158
587.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4559
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4573
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
8912
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (Q)
|
87% |
3409
273.4 IPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (Q)
|
97% |
8903
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5843
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5847
45.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9492
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13158
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13167
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25072
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5287
195.8 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
91% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3127
53.9 IPS |
