iPad17,2
Geekbench AI Score
5325
Single Precision Score
8703
Half Precision Score
6883
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | November 13 2025 08:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (HP)
|
100% |
3772
701.5 IPS |
|
|
Image Classification (Q)
|
96% |
2527
471.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3813
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11380
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20919
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17869
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4830
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8516
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4760
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15304
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10580
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27484
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41484
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33858
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7380
272.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9695
167.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9612
166.1 IPS |
