iPad (8th generation)
Geekbench AI Score
519
Single Precision Score
2073
Half Precision Score
374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
270
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (Q)
|
99% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
1132
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
24390
28.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
886
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (Q)
|
94% |
196
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
659
7.83 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
262
3.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
723
5.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
18940
145.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
481
3.76 IPS |
|
|
Style Transfer (SP)
|
100% |
1936
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1924
2.47 IPS |
|
|
Style Transfer (Q)
|
96% |
1617
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.1 IPS |
|
|
Text Classification (HP)
|
100% |
320
427.5 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.3 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (Q)
|
98% |
328
5.67 IPS |
