iPad Air (5th generation)
Geekbench AI Score
3223
Single Precision Score
5280
Half Precision Score
4363
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mastersproxy1 |
| Upload Date | December 13 2024 01:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.3 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2582
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13847
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11962
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5556
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11012
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7628
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26219
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21940
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3358
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3877
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4217
72.9 IPS |
