iPad17,1
Geekbench AI Score
12646
Single Precision Score
23014
Half Precision Score
22740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:05 AM |
| Views | 4 |
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, 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% |
6121
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10356
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9704
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9893
160.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15054
244.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16568
268.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36908
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89137
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105227
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
6295
499.3 IPS |
|
|
Object Detection (HP)
|
100% |
10882
863.2 IPS |
|
|
Object Detection (Q)
|
93% |
9762
778.8 IPS |
|
|
Face Detection (SP)
|
100% |
18390
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
31933
379.4 IPS |
|
|
Face Detection (Q)
|
100% |
26214
311.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27474
211.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50347
387.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
51135
399.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77804
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162760
209.2 IPS |
|
|
Style Transfer (Q)
|
96% |
197702
255.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15138
559.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30838
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28363
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5592
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6119
105.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5339
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5328
92.1 IPS |
