iPad Air (5th generation)
Geekbench AI Score
2795
Single Precision Score
14082
Half Precision Score
13442
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1009
187.6 IPS |
|
|
Image Classification (HP)
|
100% |
6183
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5862
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5991
97.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6062
98.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5821
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
69773
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66446
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.8 IPS |
|
|
Object Detection (HP)
|
99% |
7188
571.8 IPS |
|
|
Object Detection (Q)
|
91% |
6014
480.6 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
16133
191.7 IPS |
|
|
Face Detection (Q)
|
100% |
13326
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48359
372.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
45719
357.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14535
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119217
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116614
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22461
829.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24075
889.0 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2026
35.0 IPS |
