iPad (8th generation)
Geekbench AI Score
488
Single Precision Score
2020
Half Precision Score
354
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 09:29 PM |
| Views | 3 |
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 | iPad11,6 |
| 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
239
3.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
191
3.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
23320
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
796
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (HP)
|
100% |
5261
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
250
2.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
678
5.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
18606
143.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
443
3.46 IPS |
|
|
Style Transfer (SP)
|
100% |
1807
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1790
2.30 IPS |
|
|
Style Transfer (Q)
|
96% |
1464
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3172
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.1 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.9 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
98% |
312
5.39 IPS |
