Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7189
Single Precision Score
9925
Half Precision Score
15204
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 08:06 PM |
| Views | 3 |
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 | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (HP)
|
100% |
7017
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9608
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5730
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3920
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
34457
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74075
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (HP)
|
100% |
6148
487.7 IPS |
|
|
Object Detection (Q)
|
87% |
9894
794.1 IPS |
|
|
Face Detection (SP)
|
100% |
13212
157.0 IPS |
|
|
Face Detection (HP)
|
100% |
16659
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
31260
371.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10803
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18924
145.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35815
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25408
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53186
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97951
126.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14160
522.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23490
869.9 IPS |
|
|
Text Classification (SP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2107
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5549
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4328
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4407
75.9 IPS |
