iPad15,3
Geekbench AI Score
4055
Single Precision Score
7143
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | October 01 2025 03:11 PM |
| Views | 9 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.7 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8430
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17562
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15105
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6862
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3982
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7073
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12855
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9082
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22057
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33935
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28158
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6150
227.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4470
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6792
117.4 IPS |
