iPad17,1
Geekbench AI Score
5318
Single Precision Score
8645
Half Precision Score
6857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | korneyka3000 |
| Upload Date | December 03 2025 09:33 AM |
| Views | 11 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3786
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11029
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20920
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17799
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4224
336.3 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8495
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4733
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15259
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10537
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27577
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41446
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33848
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9470
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9481
163.8 IPS |
