iPad17,3
Geekbench AI Score
5324
Single Precision Score
8665
Half Precision Score
6839
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | morgan3nelson |
| Upload Date | November 04 2025 04:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.7 IPS |
|
|
Image Classification (Q)
|
96% |
2506
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3499
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3826
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11360
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20911
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17843
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4773
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9063
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15217
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10571
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27497
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41383
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33716
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5156
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5690
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9501
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9410
162.6 IPS |
