iPad15,3
Geekbench AI Score
7679
Single Precision Score
9268
Half Precision Score
8634
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 05:51 AM |
| Views | 8 |
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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4090
760.5 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.0 IPS |
|
|
Image Classification (Q)
|
96% |
3939
735.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6198
100.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6503
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6276
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21679
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24074
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
4581
363.4 IPS |
|
|
Object Detection (Q)
|
92% |
4252
339.4 IPS |
|
|
Face Detection (SP)
|
100% |
11455
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14512
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11690
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17731
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19252
148.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17667
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47796
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54571
70.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53076
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10236
378.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10274
379.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8855
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5685
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1697
29.3 IPS |
