iPad17,2
Geekbench AI Score
5238
Single Precision Score
8582
Half Precision Score
6801
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | KingJ2 |
| Upload Date | February 10 2026 04:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10972
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20891
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17821
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4163
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2919
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4761
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15187
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10550
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27559
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41384
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33873
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9411
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9383
162.1 IPS |
