iPad17,2
Geekbench AI Score
5307
Single Precision Score
8577
Half Precision Score
6798
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2534
473.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11387
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20999
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17870
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8494
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15262
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10568
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27542
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41325
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33729
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9671
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9495
164.1 IPS |
