iPad15,3
Geekbench AI Score
8198
Single Precision Score
9271
Half Precision Score
8598
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | decryp7 |
| Upload Date | November 07 2025 08:27 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 | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4162
774.1 IPS |
|
|
Image Classification (HP)
|
100% |
4419
821.7 IPS |
|
|
Image Classification (Q)
|
96% |
3933
734.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6174
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6449
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6258
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21685
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24066
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23442
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4197
332.9 IPS |
|
|
Object Detection (HP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (Q)
|
92% |
4236
338.1 IPS |
|
|
Face Detection (SP)
|
100% |
11434
135.9 IPS |
|
|
Face Detection (HP)
|
100% |
14494
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11658
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17735
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19313
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17663
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47059
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54696
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53073
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10115
373.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8827
325.9 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1692
29.2 IPS |
