Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
7827
Single Precision Score
10631
Half Precision Score
16858
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4785
889.9 IPS |
|
|
Image Classification (HP)
|
100% |
7569
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
10830
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6245
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35367
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75233
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (Q)
|
88% |
11007
882.4 IPS |
|
|
Face Detection (SP)
|
100% |
13800
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
17848
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
35258
418.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11802
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19492
150.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
36612
284.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26912
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56358
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
104061
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16531
610.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33491
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4484
5.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
2469
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5175
89.1 IPS |
