Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
3136
Single Precision Score
24724
Half Precision Score
38509
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 09:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
12114
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
18378
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2043
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18090
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32583
528.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3365
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
110632
129.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
221592
259.6 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
16541
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
22931
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
37218
442.2 IPS |
|
|
Face Detection (Q)
|
100% |
79378
943.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4704
36.2 IPS |
|
|
Depth Estimation (HP)
|
93% |
71236
551.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
137532
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
9909
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
213460
274.4 IPS |
|
|
Style Transfer (Q)
|
98% |
375487
484.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33876
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58623
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2104
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
2418
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3993
68.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4057
69.9 IPS |
