Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
11328
Single Precision Score
27530
Half Precision Score
30848
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 03 2025 11:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (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% |
7225
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
15345
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
18145
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9900
160.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25870
419.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30913
501.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24294
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
142471
166.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
270013
316.1 IPS |
|
|
Object Detection (SP)
|
100% |
6916
548.6 IPS |
|
|
Object Detection (HP)
|
100% |
16685
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
16223
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
13874
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
28258
335.8 IPS |
|
|
Face Detection (Q)
|
100% |
37043
440.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25861
199.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62580
482.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
70512
548.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54314
69.8 IPS |
|
|
Style Transfer (HP)
|
100% |
161997
208.2 IPS |
|
|
Style Transfer (Q)
|
98% |
191436
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10172
375.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30587
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31182
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
92% |
3351
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5974
102.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6080
104.7 IPS |
