Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3007
Single Precision Score
2006
Half Precision Score
7111
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 08 2025 12:41 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 | Balanced |
| 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% |
1855
344.9 IPS |
|
|
Image Classification (HP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (Q)
|
100% |
5083
945.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4339
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3103
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
4985
5.84 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
1115
88.5 IPS |
|
|
Object Detection (Q)
|
88% |
5325
426.8 IPS |
|
|
Face Detection (SP)
|
100% |
5522
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
4074
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
13435
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4614
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2932
22.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13870
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9262
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5721
7.35 IPS |
|
|
Style Transfer (Q)
|
98% |
27456
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1986
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7460
276.3 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4332
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2672
46.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3416
58.8 IPS |
