innotek GmbH VirtualBox
Geekbench AI Score
260
Single Precision Score
260
Half Precision Score
244
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | AABADAWI |
| Upload Date | April 10 2025 10:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 28.99 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.9 IPS |
|
|
Image Classification (HP)
|
100% |
86
15.9 IPS |
|
|
Image Classification (Q)
|
99% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
416
6.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2037
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1735
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
85% |
140
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
468
5.57 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.53 IPS |
|
|
Face Detection (Q)
|
97% |
447
5.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
503
3.88 IPS |
|
|
Depth Estimation (Q)
|
63% |
433
4.06 IPS |
|
|
Style Transfer (SP)
|
100% |
2981
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3026
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
3656
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
275
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
273
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
258
9.55 IPS |
|
|
Text Classification (SP)
|
100% |
15
20.1 IPS |
|
|
Text Classification (HP)
|
100% |
15
20.4 IPS |
|
|
Text Classification (Q)
|
92% |
16
21.9 IPS |
|
|
Machine Translation (SP)
|
100% |
49
0.84 IPS |
|
|
Machine Translation (HP)
|
100% |
49
0.84 IPS |
|
|
Machine Translation (Q)
|
58% |
33
0.77 IPS |
