Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7378
Single Precision Score
5086
Half Precision Score
18187
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 04:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4545
845.2 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
100% |
11300
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5862
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13571
220.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8608
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5597
6.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
32780
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4276
339.2 IPS |
|
|
Object Detection (HP)
|
100% |
3247
257.6 IPS |
|
|
Object Detection (Q)
|
88% |
12000
962.0 IPS |
|
|
Face Detection (SP)
|
100% |
12783
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
10163
120.8 IPS |
|
|
Face Detection (Q)
|
100% |
32315
384.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10929
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7939
61.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
31915
248.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26071
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16448
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
95275
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18227
675.0 IPS |
|
|
Text Classification (SP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6303
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5592
96.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5815
100.2 IPS |
