Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3305
Single Precision Score
2272
Half Precision Score
8709
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | July 19 2025 07:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 288V |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| 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 | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1881
349.8 IPS |
|
|
Image Classification (HP)
|
100% |
1430
265.9 IPS |
|
|
Image Classification (Q)
|
100% |
5574
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4546
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3499
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
13481
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
88% |
5806
465.4 IPS |
|
|
Face Detection (SP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (HP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
14676
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4892
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3363
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15141
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10411
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6717
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
38670
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
82.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8007
296.5 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4880
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3771
65.0 IPS |
