Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
5412
Single Precision Score
5258
Half Precision Score
12999
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:45 AM |
| Views | 7 |
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% |
4141
770.1 IPS |
|
|
Image Classification (HP)
|
100% |
4534
843.3 IPS |
|
|
Image Classification (Q)
|
100% |
10492
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10273
166.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7203
8.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
24088
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
3213
254.9 IPS |
|
|
Object Detection (Q)
|
88% |
9144
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
9250
109.9 IPS |
|
|
Face Detection (HP)
|
100% |
10237
121.6 IPS |
|
|
Face Detection (Q)
|
100% |
19514
231.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7460
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7688
59.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
20485
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18462
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14738
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
61955
79.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3263
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12354
457.5 IPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5512
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3441
59.3 IPS |
