iPad Air (5th generation)
Geekbench AI Score
4927
Single Precision Score
5638
Half Precision Score
5111
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | earth-sol |
| Upload Date | September 24 2024 06:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (Q)
|
97% |
1879
350.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3663
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16770
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18320
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16584
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.7 IPS |
|
|
Object Detection (HP)
|
100% |
2744
217.6 IPS |
|
|
Object Detection (Q)
|
91% |
2149
171.7 IPS |
|
|
Face Detection (SP)
|
100% |
6789
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
5873
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12182
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13819
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10925
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28762
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33831
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32076
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6413
236.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7197
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5595
206.6 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1094
18.9 IPS |
