Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3110
Single Precision Score
28167
Half Precision Score
45436
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 14 2025 05:46 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% |
1695
315.3 IPS |
|
|
Image Classification (HP)
|
100% |
16778
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
22457
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20452
331.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33558
544.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3317
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
111675
130.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
254683
298.3 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
18100
1.44 KIPS |
|
|
Object Detection (Q)
|
88% |
27237
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
40672
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
83909
997.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4608
35.5 IPS |
|
|
Depth Estimation (HP)
|
93% |
79710
617.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
162498
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
10045
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233143
299.7 IPS |
|
|
Style Transfer (Q)
|
98% |
419671
541.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2138
79.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42550
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86135
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (Q)
|
92% |
3368
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4321
74.4 IPS |
