iPad17,2
Geekbench AI Score
5314
Single Precision Score
8479
Half Precision Score
6721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:20 PM |
| Views | 11 |
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% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.6 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3427
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3764
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20808
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4231
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4740
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8454
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4739
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15128
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10543
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27088
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41133
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33649
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5974
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7359
271.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5954
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7520
129.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7386
127.6 IPS |
