innotek GmbH VirtualBox
Geekbench AI Score
6
Single Precision Score
5
Half Precision Score
4
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | June 29 2025 09:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Pentium G4400 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Pentium G4400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6
1.14 IPS |
|
|
Image Classification (HP)
|
100% |
3
0.65 IPS |
|
|
Image Classification (Q)
|
97% |
3
0.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
5
0.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
5
0.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
4
0.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
6
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
5
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
3
0.27 IPS |
|
|
Object Detection (HP)
|
100% |
3
0.27 IPS |
|
|
Object Detection (Q)
|
87% |
3
0.22 IPS |
|
|
Face Detection (SP)
|
100% |
12
0.14 IPS |
|
|
Face Detection (HP)
|
100% |
12
0.14 IPS |
|
|
Face Detection (Q)
|
97% |
9
0.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
8
0.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
8
0.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
6
0.05 IPS |
|
|
Style Transfer (SP)
|
100% |
18
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
18
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
14
0.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4
0.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4
0.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3
0.11 IPS |
|
|
Text Classification (SP)
|
100% |
4
5.49 IPS |
|
|
Text Classification (HP)
|
100% |
4
5.00 IPS |
|
|
Text Classification (Q)
|
91% |
3
4.27 IPS |
|
|
Machine Translation (SP)
|
100% |
7
0.13 IPS |
|
|
Machine Translation (HP)
|
100% |
7
0.13 IPS |
|
|
Machine Translation (Q)
|
58% |
4
0.10 IPS |
