iPad17,1
Geekbench AI Score
5279
Single Precision Score
8601
Half Precision Score
6812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 27 2025 08:07 PM |
| Views | 22 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.4 IPS |
|
|
Image Classification (HP)
|
100% |
3649
678.6 IPS |
|
|
Image Classification (Q)
|
96% |
2468
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3762
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10923
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20772
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17769
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2902
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8380
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4691
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15152
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10504
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27317
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41374
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33593
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7329
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5631
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9429
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9407
162.6 IPS |
