innotek GmbH VirtualBox
Geekbench AI Score
912
Single Precision Score
916
Half Precision Score
567
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | AYBamagaus |
| Upload Date | April 10 2025 12:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8400 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
99% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
455
7.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1106
1.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1063
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
85% |
414
33.3 IPS |
|
|
Face Detection (SP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1090
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
878
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1105
8.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
1106
8.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
807
7.57 IPS |
|
|
Style Transfer (SP)
|
100% |
1459
1.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1490
1.92 IPS |
|
|
Style Transfer (Q)
|
98% |
2133
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
581
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (Q)
|
92% |
274
368.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
58% |
235
5.52 IPS |
