Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6529
Single Precision Score
2290
Half Precision Score
3551
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Krypton1969 |
| Upload Date | June 22 2025 09:11 AM |
| Views | 4 |
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 | Prestazioni eccellenti |
| 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% |
4278
795.5 IPS |
|
|
Image Classification (HP)
|
100% |
1603
298.1 IPS |
|
|
Image Classification (Q)
|
100% |
2273
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5576
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
836
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7752
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
7276
8.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
15918
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3130
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (Q)
|
87% |
2270
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
11051
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
7537
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9277
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4537
35.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
8361
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23393
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12518
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22808
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4868
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3104
114.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5356
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.5 IPS |
|
|
Text Classification (Q)
|
92% |
543
729.0 IPS |
|
|
Machine Translation (SP)
|
100% |
5319
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1113
19.2 IPS |
