Micro-Star International Co., Ltd. MS-7E40
Geekbench AI Score
9414
Single Precision Score
9401
Half Precision Score
13333
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:31 AM |
| Views | 1 |
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-7E40 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860M MORTAR WIFI (MS-7E40) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6753
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6760
1.26 KIPS |
|
|
Image Classification (Q)
|
56% |
6197
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2815
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34087
39.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34173
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73498
86.1 IPS |
|
|
Object Detection (SP)
|
98% |
5800
461.5 IPS |
|
|
Object Detection (HP)
|
100% |
5796
459.7 IPS |
|
|
Object Detection (Q)
|
87% |
9231
740.9 IPS |
|
|
Face Detection (SP)
|
100% |
15431
183.4 IPS |
|
|
Face Detection (HP)
|
100% |
15498
184.1 IPS |
|
|
Face Detection (Q)
|
100% |
25133
298.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
17912
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17977
138.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
32620
258.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52464
67.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52457
67.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95113
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13683
505.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13607
502.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21995
814.6 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2216
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3240
55.8 IPS |
|
|
Machine Translation (Q)
|
90% |
2982
51.8 IPS |
