Micro-Star International Co., Ltd. MS-7E44
Geekbench AI Score
13963
Single Precision Score
24206
Half Precision Score
9375
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 12:35 PM |
| Views | 3 |
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 i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6230
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10422
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
4442
828.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9108
147.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13486
218.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7287
118.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
67081
78.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
187437
218.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
54352
63.7 IPS |
|
|
Object Detection (SP)
|
100% |
7323
580.9 IPS |
|
|
Object Detection (HP)
|
100% |
13188
1.05 KIPS |
|
|
Object Detection (Q)
|
84% |
5546
447.3 IPS |
|
|
Face Detection (SP)
|
100% |
16091
191.2 IPS |
|
|
Face Detection (HP)
|
100% |
26488
314.7 IPS |
|
|
Face Detection (Q)
|
97% |
12780
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33953
261.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65484
505.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23994
192.1 IPS |
|
|
Style Transfer (SP)
|
100% |
110709
142.3 IPS |
|
|
Style Transfer (HP)
|
100% |
292204
375.6 IPS |
|
|
Style Transfer (Q)
|
98% |
89313
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20868
770.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35790
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13243
490.4 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1229
23.1 IPS |
