Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
4560
Single Precision Score
4562
Half Precision Score
10098
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Birkin |
| Upload Date | August 30 2025 05:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
2702
502.5 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (Q)
|
100% |
6154
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3488
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3505
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6444
104.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
19470
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
88% |
6482
519.6 IPS |
|
|
Face Detection (SP)
|
100% |
7745
92.0 IPS |
|
|
Face Detection (HP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
14723
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6948
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6959
53.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16953
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15933
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15924
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
53795
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3352
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3330
123.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10482
388.2 IPS |
|
|
Text Classification (SP)
|
100% |
2556
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3913
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4000
68.9 IPS |
