Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3188
Single Precision Score
2142
Half Precision Score
8339
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 24 2025 08:14 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% |
1893
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (Q)
|
100% |
5229
972.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5026
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3448
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1975
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
13148
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (Q)
|
88% |
5410
433.7 IPS |
|
|
Face Detection (SP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
13696
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4682
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3203
24.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14381
111.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10178
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6553
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
37157
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7584
280.8 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
4383
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3579
61.7 IPS |
