innotek GmbH VirtualBox
Geekbench AI Score
924
Single Precision Score
935
Half Precision Score
516
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | ahalqurashi |
| Upload Date | April 04 2025 01:53 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
99% |
315
58.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
384
6.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
594
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
85% |
318
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
817
9.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
1185
9.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
1181
9.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
650
6.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1695
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1703
2.19 IPS |
|
|
Style Transfer (Q)
|
98% |
1716
2.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
428
15.8 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
359
482.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
58% |
360
8.45 IPS |
