iPad (11th generation)
Geekbench AI Score
3674
Single Precision Score
22438
Half Precision Score
25571
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:19 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
9464
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
10847
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13922
225.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19501
316.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6189
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
96146
112.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101988
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
12407
984.1 IPS |
|
|
Object Detection (Q)
|
89% |
14193
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
32918
391.1 IPS |
|
|
Face Detection (Q)
|
100% |
46124
548.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5963
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70861
545.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90325
705.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18288
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172598
221.9 IPS |
|
|
Style Transfer (Q)
|
96% |
171964
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32731
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35896
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1840
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8253
142.6 IPS |
