iPad17,2
Geekbench AI Score
5293
Single Precision Score
8514
Half Precision Score
6838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 04:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3593
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11267
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20797
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17830
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8496
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4770
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15296
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10538
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27455
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41439
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33805
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5225
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5571
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8788
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9680
167.3 IPS |
