Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
11356
Single Precision Score
27509
Half Precision Score
31530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 24 2025 06:25 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% |
7656
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
15727
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
18658
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9857
159.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25877
419.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30781
499.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24125
28.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
141181
164.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
269987
316.1 IPS |
|
|
Object Detection (SP)
|
100% |
6894
546.8 IPS |
|
|
Object Detection (HP)
|
100% |
16438
1.30 KIPS |
|
|
Object Detection (Q)
|
88% |
16510
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
13881
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
28995
344.5 IPS |
|
|
Face Detection (Q)
|
100% |
36643
435.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24950
192.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58009
446.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
70706
549.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54884
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
163322
210.0 IPS |
|
|
Style Transfer (Q)
|
98% |
189341
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10044
370.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28125
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31913
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4584
6.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3816
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6351
109.4 IPS |
