iPad17,3
Geekbench AI Score
5322
Single Precision Score
8660
Half Precision Score
6850
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 08:03 PM |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
3746
696.6 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11004
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20882
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17823
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4760
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9158
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15226
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10531
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27565
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41322
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33818
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7326
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9395
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9407
162.6 IPS |
