iPad17,1
Geekbench AI Score
5313
Single Precision Score
8665
Half Precision Score
6866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 02:05 PM |
| Views | 7 |
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% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3809
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20933
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17835
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9146
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15269
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10573
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27414
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41387
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33827
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5150
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9494
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9598
165.9 IPS |
