iPad17,1
Geekbench AI Score
5019
Single Precision Score
8259
Half Precision Score
6788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:12 PM |
| Views | 1 |
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, 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% |
2272
422.5 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3807
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20942
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17802
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.3 IPS |
|
|
Object Detection (HP)
|
97% |
4175
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2916
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
4690
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8448
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4719
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6479
49.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
11799
91.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10320
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26517
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34237
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33733
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7385
272.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5152
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9478
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9460
163.5 IPS |
