Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7811
Single Precision Score
10599
Half Precision Score
16348
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 10 2026 06:23 PM |
| Views | 5 |
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 | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4884
908.3 IPS |
|
|
Image Classification (HP)
|
100% |
7367
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10240
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6233
101.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34285
40.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74555
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
4684
371.5 IPS |
|
|
Object Detection (HP)
|
100% |
6314
500.8 IPS |
|
|
Object Detection (Q)
|
88% |
10618
851.3 IPS |
|
|
Face Detection (SP)
|
100% |
14144
168.1 IPS |
|
|
Face Detection (HP)
|
100% |
19215
228.3 IPS |
|
|
Face Detection (Q)
|
100% |
35224
418.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11784
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19627
151.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
37167
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26755
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56571
72.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102608
132.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16426
606.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31970
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4329
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2281
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6056
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4949
85.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5008
86.3 IPS |
