iPad15,3
Geekbench AI Score
8050
Single Precision Score
9376
Half Precision Score
8603
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
4332
805.7 IPS |
|
|
Image Classification (Q)
|
96% |
3930
733.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6184
100.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6494
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6280
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21697
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24018
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23454
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (Q)
|
92% |
4244
338.8 IPS |
|
|
Face Detection (SP)
|
100% |
11434
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14415
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11606
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17714
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19273
148.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17654
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
46853
60.2 IPS |
|
|
Style Transfer (HP)
|
100% |
54729
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
53048
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10069
371.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10282
379.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8862
327.2 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1619
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1704
29.5 IPS |
