Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
8181
Single Precision Score
16036
Half Precision Score
5631
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 03 2025 12:11 PM |
| Views | 7 |
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% |
3780
703.0 IPS |
|
|
Image Classification (HP)
|
100% |
5156
958.9 IPS |
|
|
Image Classification (Q)
|
100% |
3102
576.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7303
118.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14753
239.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5237
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22627
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
104403
121.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19083
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
5439
431.5 IPS |
|
|
Object Detection (HP)
|
100% |
8981
712.4 IPS |
|
|
Object Detection (Q)
|
88% |
4309
345.6 IPS |
|
|
Face Detection (SP)
|
100% |
10058
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
19184
228.0 IPS |
|
|
Face Detection (Q)
|
97% |
7340
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20776
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40262
310.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13812
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58237
74.9 IPS |
|
|
Style Transfer (HP)
|
100% |
188102
241.8 IPS |
|
|
Style Transfer (Q)
|
98% |
42114
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9647
356.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20205
746.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5485
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
702
940.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1461
27.4 IPS |
