iPad (8th generation)
Geekbench AI Score
462
Single Precision Score
1970
Half Precision Score
333
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 28 2025 04:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
264
49.1 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
99% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
839
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
21746
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
723
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.28 IPS |
|
|
Face Detection (HP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
650
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
18872
145.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
409
3.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1598
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (Q)
|
96% |
1323
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
505
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3178
117.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
442
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.2 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.4 IPS |
|
|
Text Classification (Q)
|
93% |
285
382.3 IPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
98% |
299
5.16 IPS |
