iPad17,1
Geekbench AI Score
5307
Single Precision Score
8678
Half Precision Score
6884
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 05 2026 01:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.5 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3805
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11308
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20947
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17858
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2950
235.1 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4752
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27593
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41281
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33835
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7320
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9651
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9637
166.5 IPS |
