Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
12333
Single Precision Score
21670
Half Precision Score
8444
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 21 2025 10:13 AM |
| Views | 8 |
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 DDR4 (MS-7D46) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5080
944.8 IPS |
|
|
Image Classification (HP)
|
99% |
9087
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
3963
739.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7969
129.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12604
204.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6463
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
54605
63.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
166664
194.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
45759
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6073
481.7 IPS |
|
|
Object Detection (HP)
|
100% |
11482
910.7 IPS |
|
|
Object Detection (Q)
|
84% |
4798
387.0 IPS |
|
|
Face Detection (SP)
|
100% |
13792
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
22969
272.9 IPS |
|
|
Face Detection (Q)
|
97% |
11213
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29201
225.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58137
449.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
20384
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
91507
117.6 IPS |
|
|
Style Transfer (HP)
|
100% |
224969
289.2 IPS |
|
|
Style Transfer (Q)
|
98% |
74622
96.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18843
695.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31055
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10489
388.4 IPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
3156
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3433
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
