iPad15,3
Geekbench AI Score
8104
Single Precision Score
9241
Half Precision Score
8802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4081
759.0 IPS |
|
|
Image Classification (HP)
|
100% |
4341
807.4 IPS |
|
|
Image Classification (Q)
|
96% |
3942
736.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6048
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6447
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6259
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21641
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23974
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23450
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4199
333.1 IPS |
|
|
Object Detection (HP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (Q)
|
92% |
4232
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
11382
135.2 IPS |
|
|
Face Detection (HP)
|
100% |
14418
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11629
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17732
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19308
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17676
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47287
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54717
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53063
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10053
371.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10272
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8848
326.7 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2152
37.2 IPS |
