iPad15,5
Geekbench AI Score
4032
Single Precision Score
7148
Half Precision Score
5789
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1527
283.9 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2094
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3245
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8418
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17543
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15098
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
97% |
3244
258.3 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
6874
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3999
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6981
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12746
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9026
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22054
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33896
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28118
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4993
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.2 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3288
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6995
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
