Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
6785
Single Precision Score
4635
Half Precision Score
16775
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | i0ntempest |
| Upload Date | July 09 2025 03:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4137
769.3 IPS |
|
|
Image Classification (HP)
|
100% |
3102
576.9 IPS |
|
|
Image Classification (Q)
|
100% |
10617
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5511
89.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12539
203.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7589
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
31273
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.3 IPS |
|
|
Object Detection (HP)
|
100% |
3052
242.1 IPS |
|
|
Object Detection (Q)
|
88% |
11497
921.6 IPS |
|
|
Face Detection (SP)
|
100% |
12262
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
9697
115.2 IPS |
|
|
Face Detection (Q)
|
100% |
29952
355.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10594
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7196
55.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29211
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23353
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14175
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
87361
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3411
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16576
613.9 IPS |
|
|
Text Classification (SP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5859
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4968
85.6 IPS |
