Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
2972
Single Precision Score
1952
Half Precision Score
7997
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 12 2025 12:33 AM |
| Views | 1 |
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% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (Q)
|
100% |
5004
930.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4953
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1719
2.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
12592
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (Q)
|
88% |
5221
418.6 IPS |
|
|
Face Detection (SP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (Q)
|
100% |
13310
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3665
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2349
18.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13176
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9188
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5900
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
35717
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2015
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7336
271.7 IPS |
|
|
Text Classification (SP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4333
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3298
56.8 IPS |
