Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
2799
Single Precision Score
2914
Half Precision Score
1730
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| Upload Date | February 20 2026 12:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Zorin OS 18 |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE TI MAX WIFI (MS-7E25) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
2130
396.0 IPS |
|
|
Image Classification (Q)
|
99% |
1063
198.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1254
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3857
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (Q)
|
85% |
1393
112.1 IPS |
|
|
Face Detection (SP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
2872
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3662
28.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2386
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4933
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
4953
6.37 IPS |
|
|
Style Transfer (Q)
|
98% |
7273
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1733
2.31 KIPS |
|
|
Text Classification (Q)
|
92% |
534
717.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3254
56.0 IPS |
|
|
Machine Translation (Q)
|
58% |
683
16.0 IPS |
