iPad17,3
Geekbench AI Score
5304
Single Precision Score
8654
Half Precision Score
6857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:43 PM |
| Views | 1 |
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, 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% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3801
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20934
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17895
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8489
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9107
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15214
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10560
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27268
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41422
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33862
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7348
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9347
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.2 IPS |
