Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6972
Single Precision Score
10226
Half Precision Score
16091
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:15 PM |
| Views | 2 |
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) |
| 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% |
4310
801.5 IPS |
|
|
Image Classification (HP)
|
100% |
7319
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
10491
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5617
91.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8228
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
34796
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73941
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
3902
309.5 IPS |
|
|
Object Detection (HP)
|
100% |
6160
488.6 IPS |
|
|
Object Detection (Q)
|
88% |
10557
846.4 IPS |
|
|
Face Detection (SP)
|
100% |
11719
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
17767
211.1 IPS |
|
|
Face Detection (Q)
|
100% |
34185
406.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10321
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17619
135.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34054
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24929
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51503
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
96994
125.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16469
608.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31680
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2364
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4721
81.3 IPS |
