iPad17,2
Geekbench AI Score
5288
Single Precision Score
8567
Half Precision Score
6802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 11:06 AM |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3536
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11356
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20910
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17835
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2935
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4765
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9138
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15348
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10575
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27055
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41442
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33764
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5911
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5487
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5462
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5157
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9390
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9677
167.2 IPS |
