iPad (11th generation)
Geekbench AI Score
3655
Single Precision Score
22709
Half Precision Score
26542
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
9034
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11026
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16042
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19560
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
97977
114.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102145
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
11987
950.8 IPS |
|
|
Object Detection (Q)
|
89% |
14315
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3291
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
32672
388.2 IPS |
|
|
Face Detection (Q)
|
100% |
46238
549.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6017
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70014
539.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
92202
720.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18220
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
171355
220.3 IPS |
|
|
Style Transfer (Q)
|
96% |
171781
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32645
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34644
1.28 KIPS |
|
|
Text Classification (SP)
|
99% |
5164
6.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2655
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7102
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8170
141.2 IPS |
