Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
5318
Single Precision Score
5535
Half Precision Score
13088
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3580
665.8 IPS |
|
|
Image Classification (HP)
|
100% |
3963
737.0 IPS |
|
|
Image Classification (Q)
|
100% |
9226
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4150
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9329
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7539
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
6809
7.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
26758
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.5 IPS |
|
|
Object Detection (HP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (Q)
|
88% |
9466
758.8 IPS |
|
|
Face Detection (SP)
|
100% |
8948
106.3 IPS |
|
|
Face Detection (HP)
|
100% |
10269
122.0 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7812
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8673
66.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22202
172.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19591
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19850
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69261
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3573
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14502
537.1 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5196
89.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3296
56.8 IPS |
