iPad17,3
Geekbench AI Score
5273
Single Precision Score
8575
Half Precision Score
6786
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 08:05 PM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.5 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11037
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20858
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17818
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4195
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4742
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15248
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10543
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27455
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41334
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33674
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5225
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5057
87.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9635
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9443
163.2 IPS |
