iPad (8th generation)
Geekbench AI Score
619
Single Precision Score
1030
Half Precision Score
930
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.8 IPS |
|
|
Image Classification (Q)
|
96% |
506
94.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
678
11.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
989
1.16 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
92% |
577
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (Q)
|
100% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
975
7.51 IPS |
|
|
Depth Estimation (HP)
|
98% |
1715
13.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1352
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2295
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3842
4.94 IPS |
|
|
Style Transfer (Q)
|
96% |
3752
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
736
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.3 IPS |
|
|
Text Classification (Q)
|
93% |
562
754.5 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (HP)
|
98% |
1005
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
