iPad17,1
Geekbench AI Score
13146
Single Precision Score
23155
Half Precision Score
23014
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 06:14 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6168
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10411
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
9746
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9981
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15157
245.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16723
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37300
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
89745
104.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94856
111.2 IPS |
|
|
Object Detection (SP)
|
100% |
6316
501.0 IPS |
|
|
Object Detection (HP)
|
100% |
10811
857.6 IPS |
|
|
Object Detection (Q)
|
93% |
9870
787.4 IPS |
|
|
Face Detection (SP)
|
100% |
18322
217.7 IPS |
|
|
Face Detection (HP)
|
100% |
32067
381.0 IPS |
|
|
Face Detection (Q)
|
100% |
26067
309.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27490
211.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50362
388.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51703
403.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78182
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
164063
210.9 IPS |
|
|
Style Transfer (Q)
|
96% |
200049
258.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15391
568.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30824
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28200
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
6049
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6540
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6505
112.4 IPS |
