Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
10911
Single Precision Score
26470
Half Precision Score
31362
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 14 2025 05:43 PM |
| Views | 8 |
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% |
7600
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
15861
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
18264
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9029
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24556
398.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30106
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25521
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
134390
156.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
270563
316.8 IPS |
|
|
Object Detection (SP)
|
100% |
6116
485.1 IPS |
|
|
Object Detection (HP)
|
100% |
13284
1.05 KIPS |
|
|
Object Detection (Q)
|
88% |
15767
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
12048
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
27730
329.5 IPS |
|
|
Face Detection (Q)
|
100% |
35249
418.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21822
168.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
58363
449.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
70309
546.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54870
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
156054
200.6 IPS |
|
|
Style Transfer (Q)
|
98% |
182947
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10392
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27672
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33660
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5743
7.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4009
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3244
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6415
110.5 IPS |
