Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3191
Single Precision Score
2161
Half Precision Score
8308
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 03 2025 12:08 PM |
| Views | 5 |
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% |
1867
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (Q)
|
100% |
5229
972.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5125
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3420
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
12853
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (Q)
|
88% |
5434
435.6 IPS |
|
|
Face Detection (SP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
4319
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
13585
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4720
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3251
25.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14351
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10185
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6549
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
36700
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2147
79.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7597
281.3 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1411
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4357
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3536
60.9 IPS |
