Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7507
Single Precision Score
5153
Half Precision Score
18400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 04:36 PM |
| Views | 3 |
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% |
4586
852.8 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
100% |
11219
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5955
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2712
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13739
222.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8796
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
33691
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
4392
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
3287
260.7 IPS |
|
|
Object Detection (Q)
|
88% |
12392
993.4 IPS |
|
|
Face Detection (SP)
|
100% |
13357
158.7 IPS |
|
|
Face Detection (HP)
|
100% |
10438
124.0 IPS |
|
|
Face Detection (Q)
|
100% |
32224
382.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11130
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8154
62.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
33903
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26146
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16934
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95106
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3725
137.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18077
669.5 IPS |
|
|
Text Classification (SP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6206
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6015
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5702
98.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5933
102.2 IPS |
