iPad17,1
Geekbench AI Score
5210
Single Precision Score
8608
Half Precision Score
6801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 09:04 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.5 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.1 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3383
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3520
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10999
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20885
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17836
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2909
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9072
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15241
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10550
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27595
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41426
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33829
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5537
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7240
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5123
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9538
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9546
165.0 IPS |
