Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
7000
Single Precision Score
6927
Half Precision Score
15982
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4633
861.6 IPS |
|
|
Image Classification (HP)
|
100% |
4617
858.7 IPS |
|
|
Image Classification (Q)
|
100% |
9884
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5878
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5886
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10647
172.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8909
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8891
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32631
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4040
320.4 IPS |
|
|
Object Detection (HP)
|
100% |
4256
337.6 IPS |
|
|
Object Detection (Q)
|
88% |
10514
842.8 IPS |
|
|
Face Detection (SP)
|
100% |
7973
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
8084
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
24699
293.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10952
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11050
85.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27786
216.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26664
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23034
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90866
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5577
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5608
207.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16847
623.9 IPS |
|
|
Text Classification (SP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5642
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5082
87.5 IPS |
