iPad17,1
Geekbench AI Score
5347
Single Precision Score
8639
Half Precision Score
6873
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.4 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3425
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3804
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11371
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20948
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17865
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4743
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15225
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10558
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27337
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41323
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33793
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7280
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5148
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9609
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9675
167.2 IPS |
