iPad17,3
Geekbench AI Score
5306
Single Precision Score
8597
Half Precision Score
6845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gemino |
| Upload Date | November 25 2025 12:30 PM |
| Views | 5 |
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, 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% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3289
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3617
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11370
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20898
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17808
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4202
334.5 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4763
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15260
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27438
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41325
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33803
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5295
195.5 IPS |
|
|
Text Classification (SP)
|
100% |
3142
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5541
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9565
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9545
165.0 IPS |
