iPad15,3
Geekbench AI Score
4018
Single Precision Score
7123
Half Precision Score
5785
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1523
283.2 IPS |
|
|
Image Classification (HP)
|
100% |
2979
554.0 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3223
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8432
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17573
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15121
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3251
258.8 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6879
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4003
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6982
53.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12742
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9049
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22058
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33872
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28162
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6810
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7061
122.0 IPS |
