iPad17,3
Geekbench AI Score
5300
Single Precision Score
8729
Half Precision Score
6824
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
3681
684.5 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3742
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11293
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20867
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17792
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8465
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4721
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9142
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15246
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10558
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26645
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41219
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33671
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7326
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
6336
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9479
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9355
161.7 IPS |
