iPad (11th generation)
Geekbench AI Score
3667
Single Precision Score
22246
Half Precision Score
26738
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:30 AM |
| Views | 4 |
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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
8567
1.59 KIPS |
|
|
Image Classification (Q)
|
97% |
11679
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1416
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13854
224.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19419
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6173
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
97520
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102040
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
12016
953.1 IPS |
|
|
Object Detection (Q)
|
89% |
14287
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
31042
368.8 IPS |
|
|
Face Detection (Q)
|
100% |
46150
548.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5962
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71258
549.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
90381
706.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18508
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
173257
222.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173752
224.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33079
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35024
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
5156
6.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2668
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3406
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7184
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8344
144.2 IPS |
