Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
4893
Single Precision Score
9987
Half Precision Score
15459
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | itidal |
| Upload Date | March 27 2025 08:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245KF |
| 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% |
3092
575.0 IPS |
|
|
Image Classification (HP)
|
100% |
7149
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
10056
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3596
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5757
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
34621
40.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
75241
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
2876
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
6164
488.9 IPS |
|
|
Object Detection (Q)
|
87% |
10149
814.6 IPS |
|
|
Face Detection (SP)
|
100% |
8136
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
17119
203.4 IPS |
|
|
Face Detection (Q)
|
100% |
31867
378.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18520
142.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34606
269.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16978
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52311
67.2 IPS |
|
|
Style Transfer (Q)
|
98% |
96274
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3076
113.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14256
526.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23769
880.3 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2209
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4623
79.6 IPS |
