Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7649
Single Precision Score
5203
Half Precision Score
18607
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 25 2025 03:45 PM |
| Views | 4 |
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. Z890 GAMING PLUS 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% |
4644
863.7 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.9 IPS |
|
|
Image Classification (Q)
|
100% |
11292
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6067
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2704
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13978
226.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5805
6.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
33999
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
4529
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
3356
266.2 IPS |
|
|
Object Detection (Q)
|
88% |
12509
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
13817
164.2 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
32475
385.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11243
86.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8217
63.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
34268
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26485
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17047
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95248
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18381
680.7 IPS |
|
|
Text Classification (SP)
|
100% |
4253
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6202
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5818
100.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6133
105.6 IPS |
