Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
7808
Single Precision Score
5383
Half Precision Score
18695
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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% |
4841
900.3 IPS |
|
|
Image Classification (HP)
|
100% |
3519
654.4 IPS |
|
|
Image Classification (Q)
|
100% |
11378
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6261
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2833
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11702
189.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9183
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
35357
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4637
367.8 IPS |
|
|
Object Detection (HP)
|
100% |
3436
272.6 IPS |
|
|
Object Detection (Q)
|
88% |
12899
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
13775
163.7 IPS |
|
|
Face Detection (HP)
|
100% |
11094
131.8 IPS |
|
|
Face Detection (Q)
|
100% |
34237
406.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11820
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8631
66.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
34150
265.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27025
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17443
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99503
128.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19236
712.4 IPS |
|
|
Text Classification (SP)
|
100% |
4489
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2605
3.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6562
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5752
99.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5932
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5849
100.8 IPS |
