iPad17,1
Geekbench AI Score
5322
Single Precision Score
8683
Half Precision Score
6874
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3738
695.2 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3470
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3800
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11272
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20944
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17878
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4232
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2947
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4749
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15314
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10579
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27389
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41398
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33729
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5124
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9765
168.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9630
166.4 IPS |
