Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
8903
Single Precision Score
16840
Half Precision Score
5967
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 22 2025 09:13 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
4770
887.0 IPS |
|
|
Image Classification (HP)
|
100% |
6393
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
3853
716.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7526
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15156
245.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5301
86.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23295
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
98124
114.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
19031
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
5724
454.1 IPS |
|
|
Object Detection (HP)
|
100% |
9748
773.2 IPS |
|
|
Object Detection (Q)
|
88% |
4642
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
10794
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
20131
239.2 IPS |
|
|
Face Detection (Q)
|
97% |
7728
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22156
170.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43358
334.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14317
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57011
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199758
256.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42146
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10615
392.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18760
692.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5777
213.9 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (Q)
|
97% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1413
26.5 IPS |
