iPad (11th generation)
Geekbench AI Score
3647
Single Precision Score
22320
Half Precision Score
26104
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
9191
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11703
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14648
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19487
315.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
98750
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102439
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
100% |
12279
974.0 IPS |
|
|
Object Detection (Q)
|
89% |
14354
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
32688
388.4 IPS |
|
|
Face Detection (Q)
|
100% |
46350
550.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71456
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
90242
705.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17986
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172378
221.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173421
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33754
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36285
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2001
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7242
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8320
143.8 IPS |
