iPad (11th generation) iPad15,7
Geekbench AI Score
3301
Single Precision Score
6074
Half Precision Score
4944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | September 25 2025 10:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2662
495.1 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2611
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5731
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
13641
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11472
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2838
226.0 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5909
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3353
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11576
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7912
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16834
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28172
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23195
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3664
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3850
142.2 IPS |
|
|
Text Classification (SP)
|
100% |
2751
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4830
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6811
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6911
119.4 IPS |
