iPad (11th generation)
Geekbench AI Score
3693
Single Precision Score
22810
Half Precision Score
26710
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:31 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
9222
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11596
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16154
261.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19535
316.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
98370
114.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102369
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
12031
954.3 IPS |
|
|
Object Detection (Q)
|
89% |
14495
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
31361
372.6 IPS |
|
|
Face Detection (Q)
|
100% |
45609
541.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6001
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
72098
555.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
92290
721.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18608
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
176515
226.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171833
221.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32918
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34935
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2663
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7111
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8174
141.3 IPS |
