Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6835
Single Precision Score
2289
Half Precision Score
3543
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 21 2025 06:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Prestazioni eccellenti |
| 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% |
4350
808.9 IPS |
|
|
Image Classification (HP)
|
100% |
1589
295.6 IPS |
|
|
Image Classification (Q)
|
100% |
2275
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5533
89.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
836
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7891
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7266
8.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
15858
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
4035
320.0 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
87% |
2272
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
3895
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
7503
89.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9986
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4533
34.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
8323
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23703
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12521
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22846
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3126
115.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5353
198.2 IPS |
|
|
Text Classification (SP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.0 IPS |
|
|
Text Classification (Q)
|
92% |
537
721.1 IPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1112
19.1 IPS |
