iPad17,3
Geekbench AI Score
5277
Single Precision Score
8654
Half Precision Score
6822
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 09:20 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.2 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3398
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20858
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17812
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8498
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4727
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9116
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15199
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10512
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26679
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41307
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33737
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7317
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5031
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9786
169.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9539
164.8 IPS |
