Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2997
Single Precision Score
2071
Half Precision Score
7725
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 20 2025 10:49 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| 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 |
| Power Plan | High performance |
| 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% |
1804
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (Q)
|
100% |
4947
920.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3244
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2104
2.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
12452
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (HP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (Q)
|
88% |
5175
414.9 IPS |
|
|
Face Detection (SP)
|
100% |
5045
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
12541
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4382
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2845
21.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10983
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9503
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6111
7.86 IPS |
|
|
Style Transfer (Q)
|
98% |
34230
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7375
273.1 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4216
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3446
59.4 IPS |
