innotek GmbH VirtualBox
Geekbench AI Score
1055
Single Precision Score
1036
Half Precision Score
600
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | jaaljabri |
| Upload Date | April 12 2025 08:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 11 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (HP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1598
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1584
1.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
1171
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
85% |
387
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1166
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1497
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
837
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
1693
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
1775
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2627
3.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
942
34.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
602
22.3 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.7 IPS |
|
|
Text Classification (HP)
|
100% |
735
980.5 IPS |
|
|
Text Classification (Q)
|
92% |
283
380.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (Q)
|
58% |
323
7.59 IPS |
