iPadAir5 (iPad13,17) iPad13,17
Geekbench AI Score
5255
Single Precision Score
6072
Half Precision Score
5648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 08:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2398
445.9 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (Q)
|
96% |
2240
418.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4005
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4305
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4123
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17247
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19632
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18270
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (Q)
|
92% |
2469
197.1 IPS |
|
|
Face Detection (SP)
|
100% |
6750
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
8514
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7108
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12386
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13956
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12746
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28923
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35320
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33264
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6299
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5949
219.7 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1067
18.4 IPS |
