Micro-Star International Co., Ltd. MS-7D46
Geekbench AI Score
3229
Single Precision Score
1374
Half Precision Score
5720
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:52 AM |
| Views | 2 |
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% |
2599
483.4 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.3 IPS |
|
|
Image Classification (Q)
|
99% |
5092
949.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2795
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5416
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3948
4.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
18458
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
5526
444.1 IPS |
|
|
Face Detection (SP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
1477
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
7731
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1911
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12620
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12456
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9407
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16971
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1813
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3688
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.4 IPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2673
53.7 IPS |
