iPad17,2
Geekbench AI Score
5352
Single Precision Score
8622
Half Precision Score
6863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:58 PM |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.2 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3777
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11366
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20971
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17882
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4195
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2952
235.3 IPS |
|
|
Face Detection (SP)
|
100% |
4829
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8515
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15251
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10600
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27316
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41406
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33829
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7292
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5176
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5166
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9590
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9632
166.4 IPS |
