innotek GmbH VirtualBox
Geekbench AI Score
1014
Single Precision Score
1006
Half Precision Score
458
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | AKObaid |
| Upload Date | April 09 2025 10:20 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1155G7 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1155G7 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
654
121.7 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.0 IPS |
|
|
Image Classification (Q)
|
99% |
255
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
420
6.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
1115
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
603
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
85% |
279
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
821
9.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1113
8.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.58 IPS |
|
|
Depth Estimation (Q)
|
63% |
571
5.35 IPS |
|
|
Style Transfer (SP)
|
100% |
1616
2.08 IPS |
|
|
Style Transfer (HP)
|
100% |
1620
2.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1463
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
793
29.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
399
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
330
443.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
58% |
252
5.93 IPS |
