iPad (8th generation)
Geekbench AI Score
609
Single Precision Score
1017
Half Precision Score
923
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.1 IPS |
|
|
Image Classification (Q)
|
96% |
521
97.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
393
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
922
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
964
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
665
52.8 IPS |
|
|
Object Detection (Q)
|
92% |
552
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (Q)
|
100% |
1136
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
829
6.39 IPS |
|
|
Depth Estimation (HP)
|
98% |
1531
11.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1379
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3653
4.70 IPS |
|
|
Style Transfer (Q)
|
96% |
3651
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
721
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
283
378.0 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.2 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.7 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.72 IPS |
|
|
Machine Translation (HP)
|
98% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
