iPad17,2
Geekbench AI Score
5267
Single Precision Score
8601
Half Precision Score
6814
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.3 IPS |
|
|
Image Classification (Q)
|
96% |
2506
468.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11067
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20956
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17862
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4229
336.7 IPS |
|
|
Object Detection (Q)
|
94% |
2944
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8451
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4740
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15254
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10565
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27558
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41418
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33854
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7236
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5251
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5103
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9447
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
