Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
1824
Single Precision Score
2754
Half Precision Score
4051
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shimonocyou |
| Upload Date | August 25 2024 03:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 730 (iGPU) |
| 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% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.4 IPS |
|
|
Image Classification (Q)
|
99% |
2521
470.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3258
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2358
2.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
8062
9.44 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (HP)
|
99% |
1749
138.7 IPS |
|
|
Object Detection (Q)
|
90% |
2682
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5790
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
7084
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3495
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6131
47.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
8173
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12018
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19645
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4134
153.1 IPS |
|
|
Text Classification (SP)
|
71% |
768
1.11 KIPS |
|
|
Text Classification (HP)
|
71% |
995
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1161
20.1 IPS |
|
|
Machine Translation (Q)
|
89% |
1405
24.4 IPS |
