Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6665
Single Precision Score
2283
Half Precision Score
3365
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | July 09 2025 06:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (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 | Balanced |
| 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% |
4257
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (Q)
|
56% |
1493
417.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5516
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
859
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7190
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
7265
8.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
15984
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3954
313.6 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
87% |
2301
184.7 IPS |
|
|
Face Detection (SP)
|
100% |
11652
138.5 IPS |
|
|
Face Detection (HP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
6821
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10108
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4514
34.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
8447
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24039
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12600
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22973
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5203
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
533
712.0 IPS |
|
|
Text Classification (Q)
|
92% |
545
732.6 IPS |
|
|
Machine Translation (SP)
|
100% |
4711
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1052
18.1 IPS |
