iPad (11th generation) iPad15,7
Geekbench AI Score
3325
Single Precision Score
22993
Half Precision Score
26201
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | September 25 2025 10:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.43 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
9056
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11745
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16211
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19362
313.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
101322
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103628
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
100% |
12462
988.5 IPS |
|
|
Object Detection (Q)
|
91% |
15035
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
30969
368.0 IPS |
|
|
Face Detection (Q)
|
100% |
39112
464.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72897
561.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
91589
716.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16847
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173443
223.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172673
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32551
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35535
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7022
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8226
142.2 IPS |
