Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
4077
Single Precision Score
2913
Half Precision Score
10664
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | ik2026 |
| Upload Date | April 07 2026 05:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 5.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2418
449.7 IPS |
|
|
Image Classification (HP)
|
100% |
1720
319.9 IPS |
|
|
Image Classification (Q)
|
100% |
6537
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7352
119.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3043
3.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
17182
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (Q)
|
88% |
6885
551.9 IPS |
|
|
Face Detection (SP)
|
100% |
7238
86.0 IPS |
|
|
Face Detection (HP)
|
100% |
5601
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
17438
207.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6107
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4304
33.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17944
139.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13471
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8770
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46983
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9738
360.6 IPS |
|
|
Text Classification (SP)
|
100% |
2528
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5626
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4158
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4156
71.6 IPS |
