iPad17,3
Geekbench AI Score
5275
Single Precision Score
8576
Half Precision Score
6797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:24 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.8 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3516
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20949
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17826
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2928
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8470
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4745
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15303
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10553
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27512
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41440
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33802
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5935
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7169
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5091
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9413
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9436
163.1 IPS |
