iPad17,1
Geekbench AI Score
5304
Single Precision Score
41355
Half Precision Score
58078
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:43 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
18016
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23745
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24371
395.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33676
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177360
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
333084
390.4 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
100% |
18180
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26777
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
46936
557.7 IPS |
|
|
Face Detection (Q)
|
100% |
67912
806.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111076
855.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
178266
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27465
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272046
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
367878
474.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62850
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99022
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6522
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
7252
9.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17778
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
19144
330.8 IPS |
