Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
9239
Single Precision Score
17886
Half Precision Score
6582
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 12:18 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 i5-14400 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4125
767.1 IPS |
|
|
Image Classification (HP)
|
99% |
8324
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3348
624.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5627
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4743
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37442
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
120147
140.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31288
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
9849
781.3 IPS |
|
|
Object Detection (Q)
|
84% |
3926
316.6 IPS |
|
|
Face Detection (SP)
|
100% |
8782
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
16775
199.3 IPS |
|
|
Face Detection (Q)
|
97% |
6974
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22683
174.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47432
365.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16634
133.3 IPS |
|
|
Style Transfer (SP)
|
100% |
63098
81.1 IPS |
|
|
Style Transfer (HP)
|
100% |
185431
238.4 IPS |
|
|
Style Transfer (Q)
|
98% |
50874
65.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13070
482.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25864
955.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8166
302.4 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3199
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1308
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1243
23.3 IPS |
