iPad15,3
Geekbench AI Score
4017
Single Precision Score
30834
Half Precision Score
34730
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
16345
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18335
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21874
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27432
444.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8402
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
120814
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120850
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (HP)
|
100% |
17479
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20368
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
39089
464.5 IPS |
|
|
Face Detection (Q)
|
100% |
51996
617.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6984
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96903
746.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
122125
954.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21995
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
227768
292.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220797
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47649
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56489
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4702
81.3 IPS |
