iPad17,1
Geekbench AI Score
5312
Single Precision Score
8460
Half Precision Score
6695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
3696
687.3 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3211
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11037
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16305
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17651
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.5 IPS |
|
|
Object Detection (Q)
|
94% |
2923
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4730
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15311
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10564
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27418
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41485
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33817
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9797
169.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9371
161.9 IPS |
