Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
4617
Single Precision Score
4523
Half Precision Score
10645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 05:54 PM |
| Views | 4 |
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 |
| 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% |
3095
575.7 IPS |
|
|
Image Classification (HP)
|
100% |
3425
636.9 IPS |
|
|
Image Classification (Q)
|
100% |
7881
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3684
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7345
119.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6243
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
23472
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2841
225.3 IPS |
|
|
Object Detection (HP)
|
100% |
2909
230.7 IPS |
|
|
Object Detection (Q)
|
88% |
7989
640.4 IPS |
|
|
Face Detection (SP)
|
100% |
7592
90.2 IPS |
|
|
Face Detection (HP)
|
100% |
8796
104.5 IPS |
|
|
Face Detection (Q)
|
100% |
15698
186.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6770
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7217
55.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
19336
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16893
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14658
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59274
76.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3517
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3787
139.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8893
329.3 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (Q)
|
92% |
4181
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2535
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2573
44.3 IPS |
