MAINGEAR Vector Pro RTX 3080 (Battery) Micro Electronics Inc MG-VCP17A-3080
Geekbench AI Score
1676
Single Precision Score
3283
Half Precision Score
1104
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jwatts721 |
| Upload Date | December 21 2025 11:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Electronics Inc MG-VCP17A-3080 |
| Motherboard | MAINGEAR VECTOR Pro 17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
863
160.6 IPS |
|
|
Image Classification (HP)
|
99% |
1551
289.3 IPS |
|
|
Image Classification (Q)
|
100% |
662
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8423
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
26741
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5964
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
906
71.8 IPS |
|
|
Object Detection (HP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (Q)
|
85% |
735
59.2 IPS |
|
|
Face Detection (SP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
1039
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3926
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8156
62.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2812
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14795
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42541
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9784
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4363
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1438
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
404
539.8 IPS |
|
|
Text Classification (HP)
|
100% |
587
783.0 IPS |
|
|
Text Classification (Q)
|
97% |
195
261.0 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
70% |
164
3.07 IPS |
