Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7623
Single Precision Score
2172
Half Precision Score
3344
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:13 AM |
| 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 | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
4718
877.4 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.6 IPS |
|
|
Image Classification (Q)
|
100% |
2191
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5528
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
748
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9008
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7335
8.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
15932
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
4600
364.9 IPS |
|
|
Object Detection (HP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (Q)
|
87% |
2201
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
13847
164.5 IPS |
|
|
Face Detection (HP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
6532
77.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11593
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4403
33.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
7938
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26364
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12805
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22080
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
4258
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
511
682.5 IPS |
|
|
Text Classification (Q)
|
92% |
522
701.4 IPS |
|
|
Machine Translation (SP)
|
100% |
6155
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
100% |
983
16.9 IPS |
