Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3288
Single Precision Score
1353
Half Precision Score
5733
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 10:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| 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 i5-14400 |
| 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% |
2550
474.2 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
99% |
4864
907.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2773
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5226
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3898
4.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
18430
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.1 IPS |
|
|
Object Detection (Q)
|
86% |
5208
418.6 IPS |
|
|
Face Detection (SP)
|
100% |
6236
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
7640
91.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6901
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1855
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12560
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12432
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9070
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21127
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3745
138.7 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2658
53.4 IPS |
