innotek GmbH VirtualBox
Geekbench AI Score
1134
Single Precision Score
981
Half Precision Score
490
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aajebril |
| Upload Date | April 10 2025 11:17 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 10.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.1 IPS |
|
|
Image Classification (Q)
|
99% |
184
34.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
270
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1923
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1567
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (HP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (Q)
|
85% |
283
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
435
5.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
1734
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
553
4.26 IPS |
|
|
Depth Estimation (Q)
|
63% |
1106
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1867
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1799
2.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3256
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
238
8.81 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
939
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
331
444.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
58% |
298
6.99 IPS |
