iPad17,1
Geekbench AI Score
5302
Single Precision Score
8616
Half Precision Score
6823
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | fastred |
| Upload Date | November 23 2025 01:02 AM |
| Views | 9 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.4 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3488
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3748
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11294
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20769
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17854
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4221
336.0 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8495
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8879
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14865
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10343
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25882
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41336
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33769
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7289
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5191
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9273
160.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9444
163.2 IPS |
