iPad17,3
Geekbench AI Score
5263
Single Precision Score
8572
Half Precision Score
6794
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | October 22 2025 09:41 AM |
| Views | 6 |
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% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
3680
684.4 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3308
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3609
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11311
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20632
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17639
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.6 IPS |
|
|
Object Detection (HP)
|
97% |
4173
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2917
232.5 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4770
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15284
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26874
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41373
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33820
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5201
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9576
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9229
159.5 IPS |
