iPad17,1
Geekbench AI Score
5288
Single Precision Score
8569
Half Precision Score
6773
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 12:41 AM |
| Views | 3 |
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
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3702
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20866
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17841
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4161
331.3 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8027
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4731
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9114
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15150
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10514
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27431
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41230
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33733
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7325
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9549
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9540
164.9 IPS |
