iPad (8th generation)
Geekbench AI Score
459
Single Precision Score
1981
Half Precision Score
337
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad (8th generation) |
| Model ID | iPad11,7 |
| Motherboard | J172aAP |
| 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% |
256
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.5 IPS |
|
|
Image Classification (Q)
|
99% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
186
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1052
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
24168
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
819
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (Q)
|
94% |
191
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
597
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
5338
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
641
4.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
17899
137.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
400
3.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1446
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (Q)
|
96% |
1218
1.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2806
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
377
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
93% |
296
396.8 IPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
