iPad17,3
Geekbench AI Score
5275
Single Precision Score
8551
Half Precision Score
6776
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gmn17 |
| Upload Date | October 25 2025 05:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.4 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3250
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3528
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11039
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20908
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17807
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4157
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8485
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4722
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15261
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27354
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41379
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33843
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9419
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9507
164.3 IPS |
