iPad15,3
Geekbench AI Score
7313
Single Precision Score
8586
Half Precision Score
7139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:20 PM |
| Views | 1 |
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% |
3958
736.2 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.4 IPS |
|
|
Image Classification (Q)
|
96% |
2388
446.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6452
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5821
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21596
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23807
27.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
20716
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
3285
260.5 IPS |
|
|
Object Detection (HP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (Q)
|
92% |
3171
253.1 IPS |
|
|
Face Detection (SP)
|
100% |
7540
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
9283
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
7204
85.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17341
133.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18493
142.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13076
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33675
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50538
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
49961
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10160
375.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8723
322.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8394
309.9 IPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4008
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1731
29.9 IPS |
