iPad15,3
Geekbench AI Score
8072
Single Precision Score
9341
Half Precision Score
8613
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 01:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4083
759.3 IPS |
|
|
Image Classification (HP)
|
100% |
4352
809.3 IPS |
|
|
Image Classification (Q)
|
96% |
3939
735.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6248
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6504
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6252
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21682
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24039
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23453
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4213
334.2 IPS |
|
|
Object Detection (HP)
|
100% |
4557
361.4 IPS |
|
|
Object Detection (Q)
|
92% |
4257
339.8 IPS |
|
|
Face Detection (SP)
|
100% |
11472
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14514
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
11672
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17763
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19314
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17693
138.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47231
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54654
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53006
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10078
372.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10276
379.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8840
326.4 IPS |
|
|
Text Classification (SP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1708
29.5 IPS |
