Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2320
Single Precision Score
1509
Half Precision Score
6250
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 31 2025 02:38 AM |
| Views | 7 |
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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
1306
243.0 IPS |
|
|
Image Classification (Q)
|
100% |
4645
863.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4902
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
8725
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (Q)
|
88% |
1890
151.5 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (Q)
|
100% |
9434
112.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3895
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2780
21.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11484
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7219
9.28 IPS |
|
|
Style Transfer (HP)
|
100% |
5029
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
30945
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5972
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4206
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2112
36.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2877
49.6 IPS |
