Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
5658
Single Precision Score
9733
Half Precision Score
14864
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:51 AM |
| Views | 5 |
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% |
3573
664.4 IPS |
|
|
Image Classification (HP)
|
100% |
6812
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9368
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7117
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
34086
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
74350
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
2977
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
6054
480.2 IPS |
|
|
Object Detection (Q)
|
87% |
9841
789.8 IPS |
|
|
Face Detection (SP)
|
100% |
9800
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
16327
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
28082
333.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19241
148.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34802
270.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19316
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53936
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
96855
124.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3873
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14177
523.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25515
944.9 IPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1969
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1996
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4033
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4069
70.1 IPS |
