Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
11251
Single Precision Score
26563
Half Precision Score
29038
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 22 2025 09:05 PM |
| Views | 14 |
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% |
7614
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
15418
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
17759
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10010
162.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25452
412.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30286
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24611
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
139587
162.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
269109
315.1 IPS |
|
|
Object Detection (SP)
|
100% |
6746
535.1 IPS |
|
|
Object Detection (HP)
|
100% |
16217
1.29 KIPS |
|
|
Object Detection (Q)
|
88% |
15170
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
13602
161.6 IPS |
|
|
Face Detection (HP)
|
100% |
29016
344.8 IPS |
|
|
Face Detection (Q)
|
100% |
36212
430.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25534
196.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59320
457.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
67100
521.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55236
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161908
208.1 IPS |
|
|
Style Transfer (Q)
|
98% |
169681
218.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9809
362.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26897
993.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28275
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4231
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
92% |
2941
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5538
95.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5664
97.6 IPS |
