iPad13,17
Geekbench AI Score
3098
Single Precision Score
5426
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 01:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.7 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14108
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12137
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2387
190.0 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3051
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5419
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10256
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16507
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26221
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21835
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4604
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4793
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4779
82.6 IPS |
