Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3440
Single Precision Score
1413
Half Precision Score
6021
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 01:04 PM |
| Views | 5 |
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-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2662
495.1 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
5118
954.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2934
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5372
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
4014
4.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
19190
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.3 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
5174
415.8 IPS |
|
|
Face Detection (SP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8114
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1962
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13249
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13106
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9719
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22401
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2461
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3962
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.2 IPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2759
55.4 IPS |
