Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2918
Single Precision Score
26477
Half Precision Score
43545
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 12 2025 12:27 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% |
1826
339.6 IPS |
|
|
Image Classification (HP)
|
100% |
15428
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
22397
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19337
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30838
499.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3353
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
112262
131.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
252154
295.4 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
100% |
16009
1.27 KIPS |
|
|
Object Detection (Q)
|
88% |
28234
2.26 KIPS |
|
|
Face Detection (SP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
38069
452.3 IPS |
|
|
Face Detection (Q)
|
100% |
83156
988.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4595
35.4 IPS |
|
|
Depth Estimation (HP)
|
93% |
71596
554.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
154605
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
6792
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
240599
309.3 IPS |
|
|
Style Transfer (Q)
|
98% |
420117
541.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35190
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80243
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2656
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4379
75.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4331
74.6 IPS |
