Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
6680
Single Precision Score
10439
Half Precision Score
16246
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:21 AM |
| Views | 2 |
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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4092
761.0 IPS |
|
|
Image Classification (HP)
|
100% |
7260
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10394
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5173
83.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3596
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7845
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
35400
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
75841
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
6176
489.9 IPS |
|
|
Object Detection (Q)
|
88% |
10351
829.8 IPS |
|
|
Face Detection (SP)
|
100% |
11443
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
18191
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
34622
411.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10200
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18776
144.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34751
270.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24285
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54555
70.1 IPS |
|
|
Style Transfer (Q)
|
98% |
99947
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5084
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16365
604.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32853
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3982
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (Q)
|
92% |
2260
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4890
84.2 IPS |
