iPad15,3
Geekbench AI Score
8164
Single Precision Score
9339
Half Precision Score
8604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:32 PM |
| Views | 1 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.6 IPS |
|
|
Image Classification (HP)
|
100% |
4346
808.2 IPS |
|
|
Image Classification (Q)
|
96% |
3933
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6584
106.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6273
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21675
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24033
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23453
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4213
334.2 IPS |
|
|
Object Detection (HP)
|
100% |
4562
361.9 IPS |
|
|
Object Detection (Q)
|
92% |
4237
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
11426
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14414
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11626
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17726
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19354
149.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
17690
138.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47325
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54668
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53029
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10061
371.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8844
326.6 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1885
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1713
29.6 IPS |
