Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2629
Single Precision Score
27505
Half Precision Score
44849
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 24 2025 07:59 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% |
1555
289.2 IPS |
|
|
Image Classification (HP)
|
100% |
15962
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
22583
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21025
340.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
34038
551.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2537
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
112961
131.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
255776
299.6 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
18791
1.49 KIPS |
|
|
Object Detection (Q)
|
88% |
27593
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
37985
451.3 IPS |
|
|
Face Detection (Q)
|
100% |
82006
974.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4487
34.6 IPS |
|
|
Depth Estimation (HP)
|
93% |
81890
634.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
168372
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
8942
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235355
302.6 IPS |
|
|
Style Transfer (Q)
|
98% |
436691
563.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1147
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38461
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80816
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2953
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4218
72.7 IPS |
