Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3054
Single Precision Score
2055
Half Precision Score
8010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 22 2025 09:10 PM |
| Views | 9 |
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 |
| 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% |
1815
337.5 IPS |
|
|
Image Classification (HP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (Q)
|
100% |
5075
943.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4903
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1896
2.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
12439
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (Q)
|
88% |
5272
422.6 IPS |
|
|
Face Detection (SP)
|
100% |
5405
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
13177
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4333
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3089
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13532
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9770
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6194
7.96 IPS |
|
|
Style Transfer (Q)
|
98% |
35465
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7314
270.9 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4308
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3348
57.7 IPS |
