iPad (11th generation)
Geekbench AI Score
3459
Single Precision Score
22497
Half Precision Score
24658
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:07 AM |
| Views | 6 |
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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
8937
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
10292
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16206
262.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19251
312.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
95791
111.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102175
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
12332
978.2 IPS |
|
|
Object Detection (Q)
|
91% |
13904
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31111
369.7 IPS |
|
|
Face Detection (Q)
|
100% |
39905
474.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71680
552.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89108
696.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
172293
221.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172228
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3828
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32610
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35265
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1658
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7109
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8246
142.5 IPS |
