Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2133
Single Precision Score
27749
Half Precision Score
44128
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 14 2025 03:01 PM |
| Views | 7 |
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% |
1614
300.2 IPS |
|
|
Image Classification (HP)
|
100% |
16094
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
21481
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19700
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32413
525.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2164
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
100886
117.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
249021
291.7 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
18406
1.46 KIPS |
|
|
Object Detection (Q)
|
88% |
27744
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
39261
466.5 IPS |
|
|
Face Detection (Q)
|
100% |
77728
923.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2995
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
81857
632.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
163179
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
6220
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
209080
268.8 IPS |
|
|
Style Transfer (Q)
|
98% |
414915
535.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39084
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
69427
2.57 KIPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (Q)
|
92% |
2883
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5649
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5526
95.2 IPS |
