Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3045
Single Precision Score
27919
Half Precision Score
44278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 21 2025 10:59 PM |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
16036
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
23258
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20551
333.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33122
536.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2512
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
112466
131.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
240977
282.3 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
16134
1.28 KIPS |
|
|
Object Detection (Q)
|
88% |
28395
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
41144
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
80613
957.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4700
36.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
75483
583.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
151726
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
10035
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
225999
290.5 IPS |
|
|
Style Transfer (Q)
|
98% |
388708
501.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42241
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79888
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (Q)
|
92% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5542
95.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5637
97.1 IPS |
