Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
10822
Single Precision Score
22962
Half Precision Score
30676
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:49 AM |
| Views | 11 |
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% |
7129
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
11066
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
17064
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9123
147.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18637
302.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26250
425.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25874
30.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
105980
123.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
196756
230.4 IPS |
|
|
Object Detection (SP)
|
100% |
6817
540.7 IPS |
|
|
Object Detection (HP)
|
100% |
12580
997.8 IPS |
|
|
Object Detection (Q)
|
88% |
18109
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
12668
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
23311
277.0 IPS |
|
|
Face Detection (Q)
|
100% |
35437
421.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23154
178.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46278
356.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
66796
519.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64538
83.0 IPS |
|
|
Style Transfer (HP)
|
100% |
179589
230.9 IPS |
|
|
Style Transfer (Q)
|
98% |
274610
354.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10548
389.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31284
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38341
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4252
5.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3291
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5751
99.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5637
97.1 IPS |
