Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6476
Single Precision Score
10075
Half Precision Score
15714
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ccutrer |
| Upload Date | January 18 2026 09:00 PM |
| Views | 6 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4090
760.7 IPS |
|
|
Image Classification (HP)
|
100% |
7227
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10363
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5438
88.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7501
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
35081
40.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74908
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
3588
284.6 IPS |
|
|
Object Detection (HP)
|
100% |
6069
481.4 IPS |
|
|
Object Detection (Q)
|
88% |
10383
832.4 IPS |
|
|
Face Detection (SP)
|
100% |
11692
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
17312
205.7 IPS |
|
|
Face Detection (Q)
|
100% |
33705
400.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9449
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18195
140.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33550
261.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22618
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52818
67.9 IPS |
|
|
Style Transfer (Q)
|
98% |
97165
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16167
597.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31021
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2031
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4915
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4527
78.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4596
79.2 IPS |
