iPad15,7
Geekbench AI Score
3560
Single Precision Score
6250
Half Precision Score
5104
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 10:16 AM |
| Views | 2 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1418
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.2 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14876
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12650
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2941
234.2 IPS |
|
|
Object Detection (Q)
|
94% |
2103
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6135
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6106
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11739
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8203
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18354
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29795
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24417
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4759
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7113
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7109
122.9 IPS |
