Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
2497
Single Precision Score
1226
Half Precision Score
4098
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2605
484.5 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
99% |
6450
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
6480
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4940
5.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
10602
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2002
158.8 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (Q)
|
86% |
1923
154.5 IPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
3446
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2934
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1632
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6658
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6210
7.98 IPS |
|
|
Style Transfer (HP)
|
100% |
9016
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12523
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2504
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.6 IPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2384
47.9 IPS |
