Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
9054
Single Precision Score
17378
Half Precision Score
6401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 09:38 AM |
| 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 i5-13400F |
| 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% |
3867
719.1 IPS |
|
|
Image Classification (HP)
|
99% |
8125
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
3184
593.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5479
88.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8713
141.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4513
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37615
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
127534
148.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31171
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
9534
756.2 IPS |
|
|
Object Detection (Q)
|
84% |
3613
291.4 IPS |
|
|
Face Detection (SP)
|
100% |
9096
108.1 IPS |
|
|
Face Detection (HP)
|
100% |
16529
196.4 IPS |
|
|
Face Detection (Q)
|
97% |
7476
89.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20859
160.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45779
352.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15325
122.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65492
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
183294
235.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52970
68.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13095
483.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26585
981.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8666
320.9 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3009
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1103
20.7 IPS |
