Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
5932
Single Precision Score
5962
Half Precision Score
15250
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 04:20 PM |
| Views | 4 |
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% |
4501
837.0 IPS |
|
|
Image Classification (HP)
|
100% |
4493
835.5 IPS |
|
|
Image Classification (Q)
|
100% |
10091
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3931
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3905
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8938
144.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8597
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8643
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32778
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4228
335.4 IPS |
|
|
Object Detection (HP)
|
100% |
4218
334.6 IPS |
|
|
Object Detection (Q)
|
88% |
10796
865.4 IPS |
|
|
Face Detection (SP)
|
100% |
12828
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
12887
153.1 IPS |
|
|
Face Detection (Q)
|
100% |
26924
319.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10852
83.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
11105
85.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
30002
237.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25523
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25808
33.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91256
117.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17192
636.7 IPS |
|
|
Text Classification (SP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
4830
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
85% |
3484
60.9 IPS |
