iPad15,3
Geekbench AI Score
8104
Single Precision Score
9281
Half Precision Score
8556
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
4087
760.0 IPS |
|
|
Image Classification (HP)
|
100% |
4338
806.7 IPS |
|
|
Image Classification (Q)
|
96% |
3934
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6200
100.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6495
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6284
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21669
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24065
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23469
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4200
333.1 IPS |
|
|
Object Detection (HP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (Q)
|
92% |
4256
339.7 IPS |
|
|
Face Detection (SP)
|
100% |
11451
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14466
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
11648
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17719
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19331
148.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17656
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
47263
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54684
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53074
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10059
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10265
379.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8843
326.5 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5215
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1701
29.4 IPS |
