Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3342
Single Precision Score
1450
Half Precision Score
5746
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:49 PM |
| 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-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 191 Stepping 2 |
| 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% |
2617
486.6 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (Q)
|
99% |
5121
955.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2912
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5450
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
18950
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
5249
421.9 IPS |
|
|
Face Detection (SP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
7731
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7377
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12847
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9706
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17835
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3865
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
1558
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
724
967.0 IPS |
|
|
Text Classification (Q)
|
97% |
1478
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2617
52.6 IPS |
