iPad17,2
Geekbench AI Score
5278
Single Precision Score
8572
Half Precision Score
6818
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 24 2026 01:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.2 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3275
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11367
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20783
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17807
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4187
333.3 IPS |
|
|
Object Detection (Q)
|
94% |
2916
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4744
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9098
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15165
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10533
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27519
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41280
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33732
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5932
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9654
166.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9493
164.0 IPS |
