Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
7125
Single Precision Score
3479
Half Precision Score
5309
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alazycomputer |
| Upload Date | June 24 2025 09:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D23 |
| Motherboard | Micro-Star International Co., Ltd. H510M PRO-E (MS-7D23) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| 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% |
2881
535.8 IPS |
|
|
Image Classification (HP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (Q)
|
99% |
2456
458.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4754
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4234
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28773
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
25212
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
3531
280.1 IPS |
|
|
Object Detection (HP)
|
100% |
1901
150.8 IPS |
|
|
Object Detection (Q)
|
83% |
2988
241.4 IPS |
|
|
Face Detection (SP)
|
100% |
8446
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (Q)
|
97% |
6961
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16291
125.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6855
52.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12653
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
52239
67.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13117
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43049
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10241
378.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6778
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
1254
1.67 KIPS |
|
|
Text Classification (Q)
|
97% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1105
20.7 IPS |
