iPad17,1
Geekbench AI Score
13250
Single Precision Score
23398
Half Precision Score
23532
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:50 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6147
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10326
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9787
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9982
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15485
251.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16800
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37539
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
90394
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106310
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (HP)
|
100% |
10926
866.7 IPS |
|
|
Object Detection (Q)
|
93% |
9878
788.0 IPS |
|
|
Face Detection (SP)
|
100% |
18329
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
32324
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
26514
315.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27662
213.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50996
392.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51690
403.6 IPS |
|
|
Style Transfer (SP)
|
100% |
78160
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164751
211.8 IPS |
|
|
Style Transfer (Q)
|
96% |
201993
260.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15571
575.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30835
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29169
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6189
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6753
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6809
117.7 IPS |
