Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3147
Single Precision Score
26985
Half Precision Score
41988
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 29 2025 03:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
14228
2.65 KIPS |
|
|
Image Classification (Q)
|
100% |
20512
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20066
325.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33165
537.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3393
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
113973
133.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
228534
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
17812
1.41 KIPS |
|
|
Object Detection (Q)
|
87% |
25480
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
42451
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
87134
1.04 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4650
35.8 IPS |
|
|
Depth Estimation (HP)
|
93% |
75312
583.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
148660
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
9904
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
221068
284.2 IPS |
|
|
Style Transfer (Q)
|
98% |
392798
506.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36482
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65189
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2841
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4563
78.6 IPS |
