iPad17,1
Geekbench AI Score
5300
Single Precision Score
41135
Half Precision Score
57108
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | December 29 2025 06:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
18062
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
23728
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24089
390.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33676
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10989
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178126
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
329156
385.8 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
17835
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26443
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
46775
555.8 IPS |
|
|
Face Detection (Q)
|
100% |
66200
786.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9140
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
110094
848.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175330
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27490
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271638
349.2 IPS |
|
|
Style Transfer (Q)
|
96% |
367311
474.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62930
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
99076
3.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6841
9.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17588
303.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18361
317.3 IPS |
