iPad15,3
Geekbench AI Score
8285
Single Precision Score
9345
Half Precision Score
8529
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 11 2025 05:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4021
747.9 IPS |
|
|
Image Classification (HP)
|
100% |
4219
784.7 IPS |
|
|
Image Classification (Q)
|
96% |
3846
718.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6480
105.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6260
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22922
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23624
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23334
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4198
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4623
366.7 IPS |
|
|
Object Detection (Q)
|
92% |
4217
336.6 IPS |
|
|
Face Detection (SP)
|
100% |
11467
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14333
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11577
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18255
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19200
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17791
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48088
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54074
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52845
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10175
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9010
332.7 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5247
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1672
28.9 IPS |
