iPad17,2
Geekbench AI Score
5323
Single Precision Score
8763
Half Precision Score
6881
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:14 AM |
| Views | 1 |
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% |
2248
418.0 IPS |
|
|
Image Classification (HP)
|
100% |
3645
677.9 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2335
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3794
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11312
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20897
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17791
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4193
333.8 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4800
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8408
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4724
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9087
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15261
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10560
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27256
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41408
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33759
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7356
271.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
6207
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5172
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9725
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9983
172.5 IPS |
