iPad (11th generation)
Geekbench AI Score
3668
Single Precision Score
6578
Half Precision Score
5378
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1822
340.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
14911
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12699
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3545
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5964
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11770
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8171
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17940
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29948
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24805
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3946
145.7 IPS |
|
|
Text Classification (SP)
|
99% |
5266
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
8305
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8366
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6517
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6476
111.9 IPS |
