iPad17,3
Geekbench AI Score
5333
Single Precision Score
8651
Half Precision Score
6858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 09:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3743
696.0 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3444
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3748
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20965
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17884
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4239
337.5 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4748
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15260
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10574
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27499
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41424
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33833
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9486
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9512
164.4 IPS |
