iPad17,3
Geekbench AI Score
5285
Single Precision Score
8560
Half Precision Score
6799
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 02:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.2 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3575
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11068
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20953
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17862
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4190
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9077
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15213
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10553
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27510
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41325
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33806
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5244
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9502
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9472
163.7 IPS |
