iPad15,3
Geekbench AI Score
4165
Single Precision Score
7144
Half Precision Score
5774
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 04:23 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2038
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3224
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8890
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17498
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15084
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6809
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12821
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9041
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22451
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34543
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28563
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6142
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5686
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6809
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6778
117.1 IPS |
