iPad17,1
Geekbench AI Score
13205
Single Precision Score
23177
Half Precision Score
23332
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 03:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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% |
6125
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10184
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9735
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15155
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16647
269.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37080
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89132
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104962
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
6311
500.6 IPS |
|
|
Object Detection (HP)
|
100% |
10949
868.5 IPS |
|
|
Object Detection (Q)
|
93% |
9852
786.0 IPS |
|
|
Face Detection (SP)
|
100% |
18457
219.3 IPS |
|
|
Face Detection (HP)
|
100% |
32062
381.0 IPS |
|
|
Face Detection (Q)
|
100% |
26381
313.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27445
211.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50306
387.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51431
401.6 IPS |
|
|
Style Transfer (SP)
|
100% |
77962
100.2 IPS |
|
|
Style Transfer (HP)
|
100% |
163796
210.6 IPS |
|
|
Style Transfer (Q)
|
96% |
197048
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15393
568.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30558
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28321
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6111
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6665
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6756
116.8 IPS |
