Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7063
Single Precision Score
4900
Half Precision Score
17226
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4439
825.6 IPS |
|
|
Image Classification (HP)
|
100% |
3252
604.9 IPS |
|
|
Image Classification (Q)
|
100% |
10811
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5325
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11571
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5479
6.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
32510
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4162
330.1 IPS |
|
|
Object Detection (HP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (Q)
|
88% |
11658
934.5 IPS |
|
|
Face Detection (SP)
|
100% |
12175
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
9901
117.7 IPS |
|
|
Face Detection (Q)
|
100% |
30556
363.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10570
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7672
59.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
30760
239.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24528
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15751
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91206
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3495
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17811
659.6 IPS |
|
|
Text Classification (SP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
5919
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5529
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5452
93.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5372
92.5 IPS |
