iPad (11th generation)
Geekbench AI Score
3456
Single Precision Score
23082
Half Precision Score
26218
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
8998
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
11404
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16116
261.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19063
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6367
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
95739
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102404
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12410
984.4 IPS |
|
|
Object Detection (Q)
|
91% |
13930
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31566
375.1 IPS |
|
|
Face Detection (Q)
|
100% |
40365
479.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71933
554.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89857
702.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18618
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
174233
224.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171638
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32819
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36312
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (Q)
|
93% |
2661
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7170
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8228
142.2 IPS |
