iPad (11th generation)
Geekbench AI Score
3676
Single Precision Score
22509
Half Precision Score
26846
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1378
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
9054
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11367
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15178
246.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19695
319.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6350
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
99460
116.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
101825
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12454
987.8 IPS |
|
|
Object Detection (Q)
|
89% |
14768
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
28855
342.9 IPS |
|
|
Face Detection (Q)
|
100% |
46071
547.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5877
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
73004
562.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
91666
716.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18587
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174530
224.4 IPS |
|
|
Style Transfer (Q)
|
96% |
172942
223.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3897
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32683
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35741
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2691
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7074
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8223
142.1 IPS |
