emAlluqmani innotek GmbH VirtualBox
Geekbench AI Score
2652
Single Precision Score
810
Half Precision Score
3651
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | emAlluqmani |
| Upload Date | April 11 2025 07:01 PM |
| Views | 15 |
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 | 15.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1476
274.6 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.3 IPS |
|
|
Image Classification (Q)
|
94% |
3302
617.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
2129
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4616
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4268
4.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
9240
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
58% |
2333
254.9 IPS |
|
|
Face Detection (SP)
|
100% |
2768
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.94 IPS |
|
|
Face Detection (Q)
|
96% |
7329
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1046
8.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
7322
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12281
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11535
14.8 IPS |
|
|
Style Transfer (Q)
|
87% |
14755
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2102
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.4 IPS |
|
|
Text Classification (Q)
|
97% |
686
918.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
68% |
2434
47.0 IPS |
