Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
5390
Single Precision Score
1783
Half Precision Score
9070
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KingJ2 |
| Upload Date | February 10 2026 01:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE TI MAX WIFI (MS-7E25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4481
833.3 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
99% |
7420
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11755
191.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10290
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5194
6.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
32642
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (HP)
|
100% |
834
66.2 IPS |
|
|
Object Detection (Q)
|
86% |
7673
616.7 IPS |
|
|
Face Detection (SP)
|
100% |
11604
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
11659
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12313
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2455
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17918
143.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22815
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12765
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25145
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2293
84.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6224
230.5 IPS |
|
|
Text Classification (SP)
|
100% |
1799
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3419
68.7 IPS |
