Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7045
Single Precision Score
10168
Half Precision Score
15901
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:18 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% |
4314
802.2 IPS |
|
|
Image Classification (HP)
|
100% |
7210
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10047
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5638
91.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8321
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
34791
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74689
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
4137
328.2 IPS |
|
|
Object Detection (HP)
|
100% |
6094
483.4 IPS |
|
|
Object Detection (Q)
|
88% |
10446
837.4 IPS |
|
|
Face Detection (SP)
|
100% |
11818
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
17601
209.1 IPS |
|
|
Face Detection (Q)
|
100% |
33203
394.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10372
79.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17827
137.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
33418
260.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24745
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52850
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96726
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16191
597.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31974
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2291
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4731
81.5 IPS |
