iPad Air (5th generation)
Geekbench AI Score
3219
Single Precision Score
14402
Half Precision Score
13994
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
6222
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5799
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6614
107.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6734
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
66725
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66086
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7266
578.0 IPS |
|
|
Object Detection (Q)
|
91% |
6585
526.2 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16124
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
14935
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47503
366.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47164
368.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17175
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119883
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111522
143.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23054
851.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23868
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2315
40.0 IPS |
