innotek GmbH VirtualBox
Geekbench AI Score
431
Single Precision Score
429
Half Precision Score
259
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | afAlsubaie2 |
| Upload Date | April 10 2025 12:32 PM |
| Views | 30 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1195G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | innotek GmbH VirtualBox |
| Motherboard | Oracle Corporation VirtualBox |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1195G7 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (Q)
|
99% |
135
25.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
195
3.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
443
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
459
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.5 IPS |
|
|
Object Detection (Q)
|
85% |
268
21.5 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
97% |
319
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.30 IPS |
|
|
Depth Estimation (Q)
|
63% |
276
2.59 IPS |
|
|
Style Transfer (SP)
|
100% |
878
1.13 IPS |
|
|
Style Transfer (HP)
|
100% |
870
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
917
1.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
172
6.36 IPS |
|
|
Text Classification (SP)
|
100% |
387
516.5 IPS |
|
|
Text Classification (HP)
|
100% |
387
516.4 IPS |
|
|
Text Classification (Q)
|
92% |
179
240.3 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
58% |
171
4.02 IPS |
