innotek GmbH VirtualBox
Geekbench AI Score
458
Single Precision Score
242
Half Precision Score
521
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Saud_Ahmed_Alhazmi |
| Upload Date | April 12 2025 03:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (HP)
|
100% |
90
16.7 IPS |
|
|
Image Classification (Q)
|
97% |
332
62.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
380
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
450
0.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
649
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.15 IPS |
|
|
Object Detection (Q)
|
86% |
330
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
893
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
750
5.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
748
5.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1289
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1383
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.54 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.5 IPS |
|
|
Text Classification (Q)
|
97% |
347
465.1 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
65% |
467
9.39 IPS |
