iPad17,2
Geekbench AI Score
5287
Single Precision Score
8602
Half Precision Score
6822
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | January 04 2026 04:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.6 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3789
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20918
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17836
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4722
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15260
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10556
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27447
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41339
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33845
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7462
275.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5111
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9395
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9375
162.0 IPS |
