Micro-Star International Co., Ltd. MS-7E20
Geekbench AI Score
8277
Single Precision Score
8254
Half Precision Score
13748
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 06 2026 07:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 250K Plus |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E20 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z890 UNIFY-X (MS-7E20) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 250K Plus |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5525
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5468
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
9069
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6288
101.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6402
103.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8702
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13259
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13258
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26368
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
5171
410.1 IPS |
|
|
Object Detection (HP)
|
100% |
5171
410.1 IPS |
|
|
Object Detection (Q)
|
88% |
9596
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
15859
188.4 IPS |
|
|
Face Detection (HP)
|
100% |
15806
187.8 IPS |
|
|
Face Detection (Q)
|
100% |
25074
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14653
112.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14684
113.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25740
200.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38035
48.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38078
49.0 IPS |
|
|
Style Transfer (Q)
|
98% |
73509
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7444
274.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7397
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14504
537.1 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4158
71.6 IPS |
