iPad17,1
Geekbench AI Score
5252
Single Precision Score
8630
Half Precision Score
6846
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:08 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2226
413.9 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.6 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3496
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3743
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10857
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20736
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17791
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
4131
328.9 IPS |
|
|
Object Detection (Q)
|
94% |
2890
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4717
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4743
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15164
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10505
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27150
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41302
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33720
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7417
273.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5215
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9432
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9524
164.6 IPS |
