innotek GmbH VirtualBox
Geekbench AI Score
2606
Single Precision Score
781
Half Precision Score
3430
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | emAlluqmani |
| Upload Date | April 11 2025 06:40 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
94% |
3414
638.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
2084
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4098
4.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
8974
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
58% |
2075
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
2826
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
412
4.89 IPS |
|
|
Face Detection (Q)
|
96% |
7063
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
975
7.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
6286
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11848
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10259
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12597
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1984
73.5 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.7 IPS |
|
|
Text Classification (Q)
|
97% |
639
856.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
68% |
2401
46.4 IPS |
