iPad (A16) (11th Generation) iPad15,7
Geekbench AI Score
3443
Single Precision Score
22326
Half Precision Score
25952
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | October 01 2025 10:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
8984
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10935
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14669
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19186
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6375
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
97167
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103297
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
11843
939.4 IPS |
|
|
Object Detection (Q)
|
91% |
14894
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
31013
368.5 IPS |
|
|
Face Detection (Q)
|
100% |
40226
478.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5959
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71593
551.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89146
697.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18493
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172294
221.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171399
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32871
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34722
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2444
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7172
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8232
142.3 IPS |
