innotek GmbH VirtualBox
Geekbench AI Score
391
Single Precision Score
217
Half Precision Score
170
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 09 2025 06:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (HP)
|
100% |
972
180.8 IPS |
|
|
Image Classification (Q)
|
99% |
244
45.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
230
3.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
764
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
485
38.4 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
85% |
124
9.97 IPS |
|
|
Face Detection (SP)
|
100% |
316
3.76 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
342
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
349
2.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
63% |
318
2.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1062
1.36 IPS |
|
|
Style Transfer (HP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2186
2.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
109
4.03 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
109
4.04 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
16
21.8 IPS |
|
|
Text Classification (Q)
|
92% |
10
13.6 IPS |
|
|
Machine Translation (SP)
|
100% |
25
0.43 IPS |
|
|
Machine Translation (HP)
|
100% |
22
0.38 IPS |
|
|
Machine Translation (Q)
|
58% |
14
0.32 IPS |
