iPad15,3
Geekbench AI Score
6850
Single Precision Score
8130
Half Precision Score
8045
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (HP)
|
100% |
4399
818.2 IPS |
|
|
Image Classification (Q)
|
96% |
3948
737.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4963
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5752
93.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5081
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21642
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24020
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
21494
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
4004
317.6 IPS |
|
|
Object Detection (HP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (Q)
|
92% |
3492
278.7 IPS |
|
|
Face Detection (SP)
|
100% |
8909
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
10607
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8327
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10744
82.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10906
84.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14871
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32524
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40940
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
46928
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6643
245.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8821
325.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5591
206.4 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4099
70.8 IPS |
