Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
9375
Single Precision Score
17934
Half Precision Score
6396
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 08:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D46 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-G WIFI (MS-7D46) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4103
763.0 IPS |
|
|
Image Classification (HP)
|
99% |
8428
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
3281
611.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5629
91.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9331
151.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4533
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37400
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
127124
148.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32102
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4578
363.1 IPS |
|
|
Object Detection (HP)
|
100% |
9808
777.9 IPS |
|
|
Object Detection (Q)
|
84% |
3802
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
9485
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
16908
200.9 IPS |
|
|
Face Detection (Q)
|
97% |
7038
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21730
167.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47004
362.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15400
123.4 IPS |
|
|
Style Transfer (SP)
|
100% |
66217
85.1 IPS |
|
|
Style Transfer (HP)
|
100% |
180328
231.8 IPS |
|
|
Style Transfer (Q)
|
98% |
50614
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13713
506.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26817
990.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8161
302.2 IPS |
|
|
Text Classification (SP)
|
100% |
2488
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1225
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2850
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1151
21.6 IPS |
