iPad17,1
Geekbench AI Score
5294
Single Precision Score
8669
Half Precision Score
6841
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:47 PM |
| Views | 18 |
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% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3746
696.6 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2318
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3767
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10929
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20954
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17854
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2931
233.6 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15276
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10556
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27488
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41295
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33771
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7411
273.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5083
87.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9428
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9415
162.7 IPS |
