iPad17,1
Geekbench AI Score
5308
Single Precision Score
8564
Half Precision Score
6788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sse |
| Upload Date | November 14 2025 04:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2267
421.7 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.1 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2192
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11381
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20931
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17841
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4181
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8474
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15259
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10561
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27527
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41406
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33727
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7162
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9522
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9520
164.5 IPS |
