iPad17,3
Geekbench AI Score
14323
Single Precision Score
25460
Half Precision Score
26884
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TxxT |
| Upload Date | April 03 2026 07:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6010
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10271
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
10473
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9944
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15353
248.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16393
265.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37203
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
89447
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118066
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
6357
504.2 IPS |
|
|
Object Detection (HP)
|
100% |
11180
886.8 IPS |
|
|
Object Detection (Q)
|
94% |
11890
948.1 IPS |
|
|
Face Detection (SP)
|
100% |
19218
228.4 IPS |
|
|
Face Detection (HP)
|
100% |
35110
417.2 IPS |
|
|
Face Detection (Q)
|
100% |
33827
401.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27549
212.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
52388
403.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
56134
438.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78368
100.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163972
210.8 IPS |
|
|
Style Transfer (Q)
|
96% |
206071
265.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15345
566.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29911
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28468
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (HP)
|
99% |
9690
12.9 KIPS |
|
|
Text Classification (Q)
|
93% |
9726
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
6890
118.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8304
143.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7555
130.6 IPS |
