Micro-Star International Co., Ltd. MS-7E44
Geekbench AI Score
13860
Single Precision Score
23300
Half Precision Score
9553
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E44 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-S DDR4 (MS-7E44) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5819
1.08 KIPS |
|
|
Image Classification (HP)
|
99% |
9468
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
4522
843.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8949
145.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12329
199.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6971
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
70122
81.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
188157
219.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
58449
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
7064
560.3 IPS |
|
|
Object Detection (HP)
|
100% |
12551
995.6 IPS |
|
|
Object Detection (Q)
|
84% |
5640
454.9 IPS |
|
|
Face Detection (SP)
|
100% |
15962
189.7 IPS |
|
|
Face Detection (HP)
|
100% |
25041
297.5 IPS |
|
|
Face Detection (Q)
|
97% |
12957
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34519
265.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65161
503.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
23898
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
116725
150.1 IPS |
|
|
Style Transfer (HP)
|
100% |
288357
370.7 IPS |
|
|
Style Transfer (Q)
|
98% |
92889
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21120
779.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34430
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13524
500.8 IPS |
|
|
Text Classification (SP)
|
100% |
2461
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3177
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3036
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1325
24.8 IPS |
