iPadAir5 (iPad13,17) iPad13,17
Geekbench AI Score
3090
Single Precision Score
5419
Half Precision Score
4455
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 08:14 PM |
| Views | 4 |
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
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.8 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14134
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12141
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2974
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10378
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7383
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16482
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26225
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21887
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4703
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4710
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4677
80.8 IPS |
