Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
9212
Single Precision Score
23397
Half Precision Score
29586
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 12 2025 01:41 AM |
| Views | 5 |
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% |
6773
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
14203
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
16806
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7619
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17740
287.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
28433
460.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15534
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102445
119.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
242245
283.6 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
10188
808.1 IPS |
|
|
Object Detection (Q)
|
88% |
14885
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
13409
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
27705
329.2 IPS |
|
|
Face Detection (Q)
|
100% |
33499
398.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24800
191.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57696
444.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
70402
547.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55322
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165815
213.2 IPS |
|
|
Style Transfer (Q)
|
98% |
185030
238.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10111
373.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28561
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32796
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4411
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
92% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5562
95.8 IPS |
