iPad17,1
Geekbench AI Score
13271
Single Precision Score
23183
Half Precision Score
23348
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 09:47 AM |
| Views | 1 |
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% |
6139
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10150
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9734
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9884
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15174
246.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16691
270.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37145
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
89280
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104981
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
10877
862.8 IPS |
|
|
Object Detection (Q)
|
93% |
9905
790.2 IPS |
|
|
Face Detection (SP)
|
100% |
18372
218.3 IPS |
|
|
Face Detection (HP)
|
100% |
32324
384.1 IPS |
|
|
Face Detection (Q)
|
100% |
26251
311.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27517
212.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50660
390.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51851
404.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78376
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
163590
210.3 IPS |
|
|
Style Transfer (Q)
|
96% |
199099
256.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15339
566.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30785
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28436
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6137
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6589
113.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6710
116.0 IPS |
