Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
3270
Single Precision Score
1399
Half Precision Score
5550
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| 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 i5-14400F |
| 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% |
2637
490.4 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (Q)
|
99% |
4989
930.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2552
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5478
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
18725
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
5083
408.6 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
7667
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7122
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12399
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12481
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9553
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16633
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1851
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
731
976.0 IPS |
|
|
Text Classification (Q)
|
97% |
1571
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1757
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2557
51.4 IPS |
