iPad17,1
Geekbench AI Score
13308
Single Precision Score
23468
Half Precision Score
23527
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 11 2026 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6126
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10383
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9738
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10038
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15421
250.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16817
272.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37646
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
91078
106.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106279
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6318
501.2 IPS |
|
|
Object Detection (HP)
|
100% |
10973
870.4 IPS |
|
|
Object Detection (Q)
|
93% |
9917
791.1 IPS |
|
|
Face Detection (SP)
|
100% |
18599
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
32396
384.9 IPS |
|
|
Face Detection (Q)
|
100% |
26410
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27815
214.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50953
392.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
51995
406.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78755
101.2 IPS |
|
|
Style Transfer (HP)
|
100% |
164210
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
201885
260.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15481
571.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30804
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28595
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5597
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6195
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6768
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6786
117.3 IPS |
