iPad17,1
Geekbench AI Score
2934
Single Precision Score
4691
Half Precision Score
3660
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 31 2025 11:45 PM |
| Views | 8 |
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 | 2.20 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.6 IPS |
|
|
Image Classification (HP)
|
100% |
1965
365.5 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2008
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6209
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9429
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2253
179.4 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2492
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4521
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2484
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4981
38.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8154
63.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5613
43.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14573
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21778
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
17713
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3259
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2787
102.9 IPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3023
4.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3014
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3057
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5518
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5496
95.0 IPS |
