Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
7760
Single Precision Score
14813
Half Precision Score
5312
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 12 2025 12:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
3445
640.7 IPS |
|
|
Image Classification (HP)
|
100% |
5030
935.4 IPS |
|
|
Image Classification (Q)
|
100% |
3047
566.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7385
119.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14343
232.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5279
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21877
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
98459
114.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17942
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
4791
380.1 IPS |
|
|
Object Detection (HP)
|
100% |
8118
643.9 IPS |
|
|
Object Detection (Q)
|
88% |
3879
311.1 IPS |
|
|
Face Detection (SP)
|
100% |
10052
119.4 IPS |
|
|
Face Detection (HP)
|
100% |
19101
227.0 IPS |
|
|
Face Detection (Q)
|
97% |
7099
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19813
152.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37092
285.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13014
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51588
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178139
229.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38873
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8889
328.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16310
602.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5131
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1457
1.94 KIPS |
|
|
Text Classification (Q)
|
97% |
656
878.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2942
50.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1323
24.8 IPS |
