iPad (11th generation)
Geekbench AI Score
3448
Single Precision Score
22254
Half Precision Score
24912
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 08 2026 07:08 AM |
| Views | 14 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
8611
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
10832
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15134
245.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19210
311.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6582
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
95270
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102064
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
12410
984.4 IPS |
|
|
Object Detection (Q)
|
91% |
14646
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
31709
376.8 IPS |
|
|
Face Detection (Q)
|
100% |
39663
471.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72332
557.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89869
702.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170136
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171547
221.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32311
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34594
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7109
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8198
141.7 IPS |
