innotek GmbH VirtualBox
Geekbench AI Score
201
Single Precision Score
204
Half Precision Score
138
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aymansouri |
| Upload Date | April 09 2025 06:47 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
40
7.44 IPS |
|
|
Image Classification (HP)
|
100% |
51
9.54 IPS |
|
|
Image Classification (Q)
|
99% |
33
6.19 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
142
2.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
779
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
667
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.08 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.50 IPS |
|
|
Object Detection (Q)
|
85% |
48
3.88 IPS |
|
|
Face Detection (SP)
|
100% |
198
2.35 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (Q)
|
97% |
204
2.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
208
1.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.70 IPS |
|
|
Depth Estimation (Q)
|
63% |
179
1.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1109
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1147
1.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1402
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
108
3.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
106
3.92 IPS |
|
|
Text Classification (SP)
|
100% |
9
11.6 IPS |
|
|
Text Classification (HP)
|
100% |
39
52.3 IPS |
|
|
Text Classification (Q)
|
92% |
8
11.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
58% |
397
9.32 IPS |
