Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
4378
Single Precision Score
8212
Half Precision Score
11955
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | March 14 2025 10:47 PM |
| Views | 7 |
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. Prestige 16 AI Evo B2HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (HP)
|
100% |
5452
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
6989
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3067
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6665
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
32212
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
70063
82.1 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
4977
394.8 IPS |
|
|
Object Detection (Q)
|
87% |
7210
578.7 IPS |
|
|
Face Detection (SP)
|
100% |
7820
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
12684
150.7 IPS |
|
|
Face Detection (Q)
|
100% |
21269
252.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17376
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32673
254.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18222
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50335
64.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87838
113.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3402
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12859
474.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20217
748.7 IPS |
|
|
Text Classification (SP)
|
100% |
2701
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1746
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1667
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2599
44.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2679
46.1 IPS |
