Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
3506
Single Precision Score
1425
Half Precision Score
6143
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | August 30 2025 05:02 PM |
| Views | 4 |
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-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Alto rendimiento |
| 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% |
2516
467.9 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.8 IPS |
|
|
Image Classification (Q)
|
99% |
5280
984.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2961
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
19764
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.9 IPS |
|
|
Object Detection (Q)
|
86% |
5533
444.7 IPS |
|
|
Face Detection (SP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
1663
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
8404
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7298
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13441
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13233
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9617
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22007
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1832
67.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
1422
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
682
910.5 IPS |
|
|
Text Classification (Q)
|
97% |
1500
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3108
62.5 IPS |
