Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6708
Single Precision Score
2354
Half Precision Score
3710
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 02:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3968
738.0 IPS |
|
|
Image Classification (HP)
|
100% |
1651
307.0 IPS |
|
|
Image Classification (Q)
|
100% |
2368
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5446
88.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
761
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
16171
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
88% |
2346
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
12048
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
7882
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9995
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4568
35.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
8423
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24019
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13091
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23635
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4803
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3518
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7133
264.2 IPS |
|
|
Text Classification (SP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
542
723.2 IPS |
|
|
Text Classification (Q)
|
92% |
569
764.0 IPS |
|
|
Machine Translation (SP)
|
100% |
5434
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1136
19.6 IPS |
