Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
10701
Single Precision Score
18972
Half Precision Score
7440
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 01:11 PM |
| Views | 2 |
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-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4551
846.4 IPS |
|
|
Image Classification (HP)
|
99% |
8077
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3799
708.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6295
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5210
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
48793
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153999
179.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
40828
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5284
419.1 IPS |
|
|
Object Detection (HP)
|
100% |
10414
826.0 IPS |
|
|
Object Detection (Q)
|
84% |
4363
351.9 IPS |
|
|
Face Detection (SP)
|
100% |
11370
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
18898
224.5 IPS |
|
|
Face Detection (Q)
|
97% |
9293
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25844
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53885
416.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
18152
145.6 IPS |
|
|
Style Transfer (SP)
|
100% |
81419
104.7 IPS |
|
|
Style Transfer (HP)
|
100% |
208662
268.2 IPS |
|
|
Style Transfer (Q)
|
98% |
64765
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16640
614.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27661
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9739
360.6 IPS |
|
|
Text Classification (SP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3242
4.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1182
22.2 IPS |
