iPad17,3
Geekbench AI Score
5268
Single Precision Score
8549
Half Precision Score
6749
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:38 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.0 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11298
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20888
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17806
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4156
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2910
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
4799
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8416
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4726
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9071
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15238
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10558
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26529
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41275
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33701
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5074
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5521
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9678
167.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9163
158.3 IPS |
