iPad17,1
Geekbench AI Score
12732
Single Precision Score
22747
Half Precision Score
22874
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6120
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10317
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9737
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9998
162.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15361
249.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16800
272.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37603
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90626
105.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105847
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
6302
499.9 IPS |
|
|
Object Detection (HP)
|
100% |
10846
860.3 IPS |
|
|
Object Detection (Q)
|
93% |
9753
778.1 IPS |
|
|
Face Detection (SP)
|
100% |
18402
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
31991
380.1 IPS |
|
|
Face Detection (Q)
|
100% |
26148
310.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27671
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51007
393.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51827
404.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78513
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
164328
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201184
259.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15539
573.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30620
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28738
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
99% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6153
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5330
92.1 IPS |
