Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
4427
Single Precision Score
1671
Half Precision Score
7640
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:47 AM |
| Views | 8 |
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% |
3941
732.9 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.0 IPS |
|
|
Image Classification (Q)
|
99% |
9026
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3711
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7299
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
5009
5.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
26275
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
86% |
7245
582.3 IPS |
|
|
Face Detection (SP)
|
100% |
8534
101.4 IPS |
|
|
Face Detection (HP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10259
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2308
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17661
140.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17539
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11873
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20708
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3199
118.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2250
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4606
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2377
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3913
78.6 IPS |
