iPad17,3
Geekbench AI Score
5327
Single Precision Score
8671
Half Precision Score
6876
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Surinder |
| Upload Date | November 23 2025 06:01 PM |
| Views | 4 |
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, 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% |
2302
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3826
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11392
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20986
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17900
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
4232
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2960
235.9 IPS |
|
|
Face Detection (SP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8544
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4790
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9153
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15323
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10598
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27304
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41430
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33944
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7324
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9445
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9439
163.1 IPS |
