iPad17,2
Geekbench AI Score
5288
Single Precision Score
8620
Half Precision Score
6839
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | bkelly |
| Upload Date | March 20 2026 04:03 AM |
| Views | 6 |
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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.4 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11363
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20916
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17850
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4170
332.0 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4762
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15282
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10557
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27544
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41315
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33655
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7258
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
193.7 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9806
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9621
166.3 IPS |
