iPad15,5
Geekbench AI Score
8057
Single Precision Score
9259
Half Precision Score
8717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,5 |
| Model ID | iPad15,5 |
| Motherboard | J637AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4092
761.1 IPS |
|
|
Image Classification (HP)
|
100% |
4345
808.0 IPS |
|
|
Image Classification (Q)
|
96% |
3928
733.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6156
99.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6493
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6291
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21668
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24021
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4214
334.3 IPS |
|
|
Object Detection (HP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (Q)
|
92% |
4243
338.7 IPS |
|
|
Face Detection (SP)
|
100% |
11439
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14533
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
11664
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17702
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19291
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17654
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47138
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54708
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53048
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10075
372.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10277
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8858
327.1 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1936
33.5 IPS |
