innotek GmbH VirtualBox
Geekbench AI Score
1618
Single Precision Score
1603
Half Precision Score
885
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | FAAbunasif |
| Upload Date | April 09 2025 07:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 13.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1034
192.2 IPS |
|
|
Image Classification (HP)
|
100% |
962
178.8 IPS |
|
|
Image Classification (Q)
|
99% |
508
94.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1588
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
662
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2114
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2123
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
1693
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.2 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.4 IPS |
|
|
Object Detection (Q)
|
85% |
570
45.9 IPS |
|
|
Face Detection (SP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2035
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1440
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1942
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1187
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2528
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
3710
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
880
32.6 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
367
493.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (Q)
|
58% |
448
10.5 IPS |
