Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7732
Single Precision Score
5259
Half Precision Score
18826
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4711
876.2 IPS |
|
|
Image Classification (HP)
|
100% |
3430
637.8 IPS |
|
|
Image Classification (Q)
|
100% |
11411
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2773
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14103
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9055
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
33917
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (HP)
|
100% |
3414
270.8 IPS |
|
|
Object Detection (Q)
|
88% |
12591
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13426
159.5 IPS |
|
|
Face Detection (HP)
|
100% |
10461
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
32921
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11609
89.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8417
64.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
34786
270.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26905
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17345
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98226
126.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18499
685.1 IPS |
|
|
Text Classification (SP)
|
100% |
4277
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6336
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5846
100.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6174
106.3 IPS |
