Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7070
Single Precision Score
10223
Half Precision Score
15962
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:25 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% |
4369
812.4 IPS |
|
|
Image Classification (HP)
|
100% |
7348
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10454
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5598
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2834
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3569
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8370
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
34769
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74893
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
4125
327.2 IPS |
|
|
Object Detection (HP)
|
100% |
6121
485.5 IPS |
|
|
Object Detection (Q)
|
88% |
10548
845.7 IPS |
|
|
Face Detection (SP)
|
100% |
11726
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
18035
214.3 IPS |
|
|
Face Detection (Q)
|
100% |
33286
395.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10575
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17836
137.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33361
259.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24914
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52749
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
97375
125.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16400
605.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31647
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4137
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
2208
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2296
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5509
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4637
79.9 IPS |
