innotek GmbH VirtualBox
Geekbench AI Score
1314
Single Precision Score
704
Half Precision Score
1995
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sso7746 |
| Upload Date | February 24 2025 03:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10105 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise LTSC (64-bit) |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
293
54.6 IPS |
|
|
Image Classification (Q)
|
96% |
1767
330.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
1279
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
4566
5.40 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
1262
137.9 IPS |
|
|
Face Detection (SP)
|
100% |
1375
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
96% |
2983
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2731
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1080
8.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
4077
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5331
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4531
5.82 IPS |
|
|
Style Transfer (Q)
|
87% |
5140
6.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1109
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1543
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
460
614.1 IPS |
|
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
944
18.2 IPS |
