iPad (11th generation)
Geekbench AI Score
3659
Single Precision Score
6519
Half Precision Score
5324
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1819
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2699
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
14662
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12461
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2120
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11703
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8149
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18144
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29572
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24535
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4711
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3705
136.8 IPS |
|
|
Text Classification (SP)
|
99% |
5163
6.89 KIPS |
|
|
Text Classification (HP)
|
99% |
8449
11.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8296
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6613
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6493
112.2 IPS |
