iPad17,3
Geekbench AI Score
5239
Single Precision Score
8551
Half Precision Score
6746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 01:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,3 |
| Model ID | iPad17,3 |
| Motherboard | J820AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.7 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3772
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11185
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20650
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17632
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8326
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4679
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9012
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15036
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10381
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26534
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40839
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33339
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5945
219.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7307
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5142
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4978
85.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9513
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9250
159.9 IPS |
