Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
4091
Single Precision Score
4097
Half Precision Score
11345
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shimonocyou |
| Upload Date | August 25 2024 03:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400 @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D23 |
| Motherboard | Micro-Star International Co., Ltd. H510M PRO-E (MS-7D23) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2515
467.7 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
100% |
7199
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2484
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6041
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5484
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
21474
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (Q)
|
88% |
7395
592.8 IPS |
|
|
Face Detection (SP)
|
100% |
4903
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
4897
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
17344
206.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7021
54.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
7030
54.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
19804
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14498
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14415
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
55190
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3193
117.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11215
415.3 IPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
4212
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (Q)
|
85% |
5713
99.9 IPS |
