iPad15,3
Geekbench AI Score
4047
Single Precision Score
7125
Half Precision Score
5759
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1542
286.7 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
2075
387.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3226
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8420
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17582
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15120
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
97% |
3248
258.6 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6874
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7075
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12817
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9080
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22057
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33930
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28164
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4998
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4471
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6826
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6770
117.0 IPS |
