iPad13,17
Geekbench AI Score
5103
Single Precision Score
5970
Half Precision Score
5509
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 10:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1955
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.8 IPS |
|
|
Image Classification (Q)
|
96% |
1925
359.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4064
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17253
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18833
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18064
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.8 IPS |
|
|
Object Detection (Q)
|
92% |
2429
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
6736
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8415
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7053
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12317
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13972
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12772
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28705
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35107
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34210
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6398
236.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6170
227.8 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1022
17.7 IPS |
