Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
8976
Single Precision Score
16614
Half Precision Score
22741
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | March 14 2025 10:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| 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% |
6321
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
8214
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
12234
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7738
125.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13265
215.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16989
275.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24468
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53929
62.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
157756
184.7 IPS |
|
|
Object Detection (SP)
|
100% |
5848
463.8 IPS |
|
|
Object Detection (HP)
|
100% |
8941
709.2 IPS |
|
|
Object Detection (Q)
|
88% |
12363
990.8 IPS |
|
|
Face Detection (SP)
|
100% |
11136
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
20160
239.5 IPS |
|
|
Face Detection (Q)
|
100% |
30483
362.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18302
141.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35706
275.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
50775
394.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33319
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
137094
176.2 IPS |
|
|
Style Transfer (Q)
|
98% |
193571
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9887
365.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25493
941.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29923
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2614
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3894
67.1 IPS |
