iPad Air (5th generation)
Geekbench AI Score
3223
Single Precision Score
14297
Half Precision Score
13940
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 04:29 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
6272
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5889
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6609
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6751
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66302
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65674
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7111
565.6 IPS |
|
|
Object Detection (Q)
|
91% |
6575
525.4 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
15899
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
14660
174.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5806
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46788
360.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47106
368.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118916
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
110968
143.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22570
833.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23743
876.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2271
39.3 IPS |
