iPad15,3
Geekbench AI Score
8123
Single Precision Score
9308
Half Precision Score
8713
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4083
759.3 IPS |
|
|
Image Classification (HP)
|
100% |
4362
811.1 IPS |
|
|
Image Classification (Q)
|
96% |
3938
735.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6113
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6507
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6294
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21674
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24045
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23447
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4199
333.1 IPS |
|
|
Object Detection (HP)
|
100% |
4566
362.2 IPS |
|
|
Object Detection (Q)
|
92% |
4229
337.6 IPS |
|
|
Face Detection (SP)
|
100% |
11416
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
14489
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11663
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17710
136.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19296
148.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17662
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47301
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54672
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53014
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10086
372.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10271
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8822
325.8 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1939
33.5 IPS |
