innotek GmbH VirtualBox
Geekbench AI Score
1468
Single Precision Score
1520
Half Precision Score
854
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 02:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-12700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (Q)
|
99% |
479
89.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
698
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1847
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
1874
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1504
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (Q)
|
85% |
661
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2207
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
1538
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2080
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2025
15.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1246
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2467
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1358
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
1414
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
847
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
1425
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
561
753.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (Q)
|
58% |
483
11.3 IPS |
