Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
2659
Single Precision Score
751
Half Precision Score
3560
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shimonocyou |
| Upload Date | August 25 2024 03:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400 |
| 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.9 IPS |
|
|
Image Classification (Q)
|
99% |
3182
593.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
2165
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5452
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4294
5.01 IPS |
|
|
Pose Estimation (Q)
|
95% |
17842
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
88% |
1897
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (Q)
|
97% |
3646
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5553
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
893
6.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
7061
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12491
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9840
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16692
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2279
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3638
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
1686
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
727
969.9 IPS |
|
|
Text Classification (Q)
|
97% |
527
705.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1706
38.1 IPS |
