Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
6021
Single Precision Score
6038
Half Precision Score
15085
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | defogger |
| Upload Date | October 30 2025 02:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3635
676.0 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
100% |
9416
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5089
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5073
82.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11481
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9110
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9456
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33662
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (HP)
|
100% |
3263
258.8 IPS |
|
|
Object Detection (Q)
|
88% |
10635
852.5 IPS |
|
|
Face Detection (SP)
|
100% |
10474
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
25515
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9566
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9580
73.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28629
222.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28173
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28147
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93810
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4684
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4730
174.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17041
631.1 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5128
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2633
45.4 IPS |
