Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3262
Single Precision Score
1382
Half Precision Score
5816
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:11 AM |
| Views | 4 |
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% |
2501
465.2 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
4898
913.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2815
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5134
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3590
4.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
17755
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (Q)
|
86% |
5044
405.4 IPS |
|
|
Face Detection (SP)
|
100% |
6134
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
1638
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
8019
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1906
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12577
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12257
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8920
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21392
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3805
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
97% |
1590
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2751
55.3 IPS |
