iPad17,1
Geekbench AI Score
5319
Single Precision Score
8659
Half Precision Score
6870
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.9 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3492
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3807
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11339
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20887
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17891
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4213
335.4 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4771
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15305
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10560
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27434
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41419
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33770
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7349
271.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5032
86.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9436
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9432
163.0 IPS |
