iPad (8th generation)
Geekbench AI Score
474
Single Precision Score
2023
Half Precision Score
199
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
266
49.5 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
185
3.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
22228
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
718
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (HP)
|
100% |
5201
61.8 IPS |
|
|
Face Detection (Q)
|
0
|
||
|
Depth Estimation (SP)
|
100% |
655
5.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
18748
144.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
414
3.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1645
2.11 IPS |
|
|
Style Transfer (HP)
|
100% |
1650
2.12 IPS |
|
|
Style Transfer (Q)
|
96% |
1376
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
472
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (HP)
|
100% |
284
378.8 IPS |
|
|
Text Classification (Q)
|
93% |
285
382.2 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.31 IPS |
|
|
Machine Translation (Q)
|
98% |
300
5.18 IPS |
