iPad (11th generation)
Geekbench AI Score
2976
Single Precision Score
3393
Half Precision Score
3226
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:13 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.4 IPS |
|
|
Image Classification (Q)
|
94% |
501
93.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2211
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9507
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10462
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9933
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.7 IPS |
|
|
Object Detection (Q)
|
91% |
987
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (Q)
|
100% |
4801
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6695
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7266
56.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6929
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17735
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19380
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19020
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3020
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2629
97.1 IPS |
|
|
Text Classification (SP)
|
99% |
5168
6.90 KIPS |
|
|
Text Classification (HP)
|
99% |
8406
11.2 KIPS |
|
|
Text Classification (Q)
|
93% |
8134
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
831
14.4 IPS |
