innotek GmbH VirtualBox
Geekbench AI Score
24
Single Precision Score
23
Half Precision Score
18
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | rmalroqi |
| Upload Date | April 12 2025 07:32 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14
2.55 IPS |
|
|
Image Classification (HP)
|
100% |
14
2.55 IPS |
|
|
Image Classification (Q)
|
97% |
11
2.07 IPS |
|
|
Image Segmentation (SP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
18
0.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
15
0.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
22
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
22
0.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
19
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
13
1.01 IPS |
|
|
Object Detection (HP)
|
100% |
13
1.01 IPS |
|
|
Object Detection (Q)
|
87% |
11
0.86 IPS |
|
|
Face Detection (SP)
|
100% |
41
0.49 IPS |
|
|
Face Detection (HP)
|
100% |
43
0.52 IPS |
|
|
Face Detection (Q)
|
97% |
36
0.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
31
0.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
32
0.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
22
0.21 IPS |
|
|
Style Transfer (SP)
|
100% |
68
0.09 IPS |
|
|
Style Transfer (HP)
|
100% |
68
0.09 IPS |
|
|
Style Transfer (Q)
|
98% |
58
0.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16
0.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14
0.53 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12
0.44 IPS |
|
|
Text Classification (SP)
|
100% |
19
25.3 IPS |
|
|
Text Classification (HP)
|
100% |
19
25.4 IPS |
|
|
Text Classification (Q)
|
91% |
15
20.0 IPS |
|
|
Machine Translation (SP)
|
100% |
34
0.59 IPS |
|
|
Machine Translation (HP)
|
100% |
33
0.57 IPS |
|
|
Machine Translation (Q)
|
58% |
18
0.43 IPS |
