Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7428
Single Precision Score
3005
Half Precision Score
5030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:52 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. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4549
845.9 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.4 IPS |
|
|
Image Classification (Q)
|
100% |
3407
633.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5952
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
19609
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
4290
340.2 IPS |
|
|
Object Detection (HP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (Q)
|
87% |
3232
259.4 IPS |
|
|
Face Detection (SP)
|
100% |
12953
153.9 IPS |
|
|
Face Detection (HP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
9124
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11109
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4919
37.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
9510
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26184
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14696
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27786
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5441
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7587
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
92% |
1047
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5872
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1718
29.6 IPS |
