Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7528
Single Precision Score
5188
Half Precision Score
18473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 04:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4637
862.4 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
100% |
11172
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5544
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13768
223.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5778
6.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
33966
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4511
357.8 IPS |
|
|
Object Detection (HP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (Q)
|
88% |
12087
968.9 IPS |
|
|
Face Detection (SP)
|
100% |
13691
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
10591
125.8 IPS |
|
|
Face Detection (Q)
|
100% |
32363
384.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11132
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8129
62.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
34077
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26394
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17055
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96282
124.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18415
682.0 IPS |
|
|
Text Classification (SP)
|
100% |
4251
5.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2510
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
6225
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5961
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6021
103.7 IPS |
