iPad15,3
Geekbench AI Score
4033
Single Precision Score
7134
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 10:03 AM |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17459
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15104
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7076
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12900
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9093
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22024
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33924
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28167
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5543
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6805
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6837
118.2 IPS |
