ALLDOCUBE i1115D
Geekbench AI Score
1424
Single Precision Score
1418
Half Precision Score
4103
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 28 2024 12:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ALLDOCUBE i1115D |
| Motherboard | ALLDOCUBE ALLDOCUBE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
985
183.1 IPS |
|
|
Image Classification (HP)
|
100% |
1031
191.8 IPS |
|
|
Image Classification (Q)
|
100% |
2922
543.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1101
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2429
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1061
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
5786
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (Q)
|
88% |
3025
242.5 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (Q)
|
100% |
7337
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2131
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1962
15.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7821
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3826
4.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3918
5.04 IPS |
|
|
Style Transfer (Q)
|
98% |
19329
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (Q)
|
92% |
2755
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1005
17.3 IPS |
