Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
10808
Single Precision Score
19372
Half Precision Score
7436
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 07:18 AM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4796
891.9 IPS |
|
|
Image Classification (HP)
|
99% |
8801
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
3732
696.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6334
102.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9487
153.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5251
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
48156
56.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
157148
183.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39451
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
5346
424.1 IPS |
|
|
Object Detection (HP)
|
100% |
10400
824.9 IPS |
|
|
Object Detection (Q)
|
84% |
4223
340.6 IPS |
|
|
Face Detection (SP)
|
100% |
11278
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
18964
225.3 IPS |
|
|
Face Detection (Q)
|
97% |
8674
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25273
194.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53450
413.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
17895
143.5 IPS |
|
|
Style Transfer (SP)
|
100% |
82956
106.6 IPS |
|
|
Style Transfer (HP)
|
100% |
212689
273.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67052
86.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17077
630.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29244
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9975
369.4 IPS |
|
|
Text Classification (SP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3137
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1213
22.7 IPS |
