Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
8902
Single Precision Score
16805
Half Precision Score
6344
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:16 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-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3856
717.0 IPS |
|
|
Image Classification (HP)
|
99% |
7350
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
3211
598.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5186
84.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8097
131.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4368
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37861
44.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
126894
148.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32003
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4412
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
9277
735.9 IPS |
|
|
Object Detection (Q)
|
84% |
3700
298.4 IPS |
|
|
Face Detection (SP)
|
100% |
9079
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
16254
193.1 IPS |
|
|
Face Detection (Q)
|
97% |
7465
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20880
160.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46659
359.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16051
128.6 IPS |
|
|
Style Transfer (SP)
|
100% |
63806
82.0 IPS |
|
|
Style Transfer (HP)
|
100% |
180265
231.7 IPS |
|
|
Style Transfer (Q)
|
98% |
51963
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13370
493.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25164
929.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8190
303.3 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3061
4.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2380
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2435
42.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1100
20.6 IPS |
