iPad (11th generation)
Geekbench AI Score
3655
Single Precision Score
6606
Half Precision Score
5376
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2647
492.2 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2691
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6274
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14894
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12702
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2960
235.6 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5901
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11667
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8137
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18210
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29981
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24850
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3793
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3949
145.8 IPS |
|
|
Text Classification (SP)
|
99% |
5159
6.89 KIPS |
|
|
Text Classification (HP)
|
100% |
8293
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8205
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6856
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6616
114.3 IPS |
