Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
11332
Single Precision Score
27924
Half Precision Score
31732
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 30 2025 06:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
7484
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
15585
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
18744
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9697
157.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25724
417.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30963
501.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23640
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
131522
153.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
265673
311.0 IPS |
|
|
Object Detection (SP)
|
100% |
6782
538.0 IPS |
|
|
Object Detection (HP)
|
100% |
16803
1.33 KIPS |
|
|
Object Detection (Q)
|
88% |
16797
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
13754
163.4 IPS |
|
|
Face Detection (HP)
|
100% |
29427
349.7 IPS |
|
|
Face Detection (Q)
|
100% |
37604
446.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25025
192.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60333
464.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
71518
556.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55241
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
166224
213.7 IPS |
|
|
Style Transfer (Q)
|
98% |
187056
241.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10118
373.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28519
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32617
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6521
112.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6341
109.2 IPS |
