Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
4138
Single Precision Score
1570
Half Precision Score
6840
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:40 AM |
| Views | 10 |
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% |
3139
583.8 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
99% |
5922
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2970
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7220
8.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
24780
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3031
240.4 IPS |
|
|
Object Detection (HP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
7187
577.6 IPS |
|
|
Face Detection (SP)
|
100% |
8214
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8905
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8993
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2091
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14945
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17070
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12105
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23371
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
716
955.8 IPS |
|
|
Text Classification (Q)
|
97% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3447
69.3 IPS |
