iPad (11th generation)
Geekbench AI Score
3668
Single Precision Score
22873
Half Precision Score
26034
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 09:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
8735
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
11442
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16012
259.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19471
315.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
95671
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102205
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
12568
996.9 IPS |
|
|
Object Detection (Q)
|
89% |
14380
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
32802
389.8 IPS |
|
|
Face Detection (Q)
|
100% |
46053
547.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5894
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71538
551.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
92993
726.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18445
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173848
223.5 IPS |
|
|
Style Transfer (Q)
|
96% |
174602
225.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31633
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37269
1.38 KIPS |
|
|
Text Classification (SP)
|
99% |
5236
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7207
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8156
140.9 IPS |
