Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
10730
Single Precision Score
26833
Half Precision Score
30687
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 22 2025 02:59 AM |
| Views | 3 |
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% |
7327
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
15672
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
18269
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8803
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24168
391.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31138
504.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23588
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
128530
150.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
270365
316.5 IPS |
|
|
Object Detection (SP)
|
100% |
6602
523.7 IPS |
|
|
Object Detection (HP)
|
100% |
14707
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
15892
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
12194
144.9 IPS |
|
|
Face Detection (HP)
|
100% |
26979
320.6 IPS |
|
|
Face Detection (Q)
|
100% |
32896
390.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22317
171.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
61256
471.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
70652
549.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52154
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
157350
202.3 IPS |
|
|
Style Transfer (Q)
|
98% |
166126
214.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9424
348.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30526
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34026
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4873
6.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
92% |
3698
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6079
104.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6238
107.5 IPS |
