iPad17,2
Geekbench AI Score
5318
Single Precision Score
8630
Half Precision Score
6839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.3 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3403
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3743
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10985
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20870
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17803
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4190
333.5 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8454
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4714
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9133
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15242
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10533
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27293
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41313
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33766
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7322
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5695
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9412
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9356
161.7 IPS |
