iPad (11th generation)
Geekbench AI Score
3413
Single Precision Score
22268
Half Precision Score
25654
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 08:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad (11th generation) |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | Apple A16 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
9019
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
10765
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13859
224.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19032
308.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6261
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
95413
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102488
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12556
995.9 IPS |
|
|
Object Detection (Q)
|
91% |
14357
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
31496
374.2 IPS |
|
|
Face Detection (Q)
|
100% |
39848
473.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
70489
543.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
91074
712.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18321
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
171536
220.5 IPS |
|
|
Style Transfer (Q)
|
96% |
169817
219.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32565
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34762
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2346
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7088
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8150
140.8 IPS |
