iPad Air (5th generation)
Geekbench AI Score
2151
Single Precision Score
12527
Half Precision Score
12555
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 10:00 AM |
| Views | 39 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1081
201.1 IPS |
|
|
Image Classification (HP)
|
100% |
6322
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6449
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4219
68.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4219
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5762
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
65255
76.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
64355
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
99% |
7071
562.5 IPS |
|
|
Object Detection (Q)
|
93% |
6502
518.8 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
12381
147.1 IPS |
|
|
Face Detection (Q)
|
100% |
12674
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3840
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43319
333.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47087
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10364
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
116995
150.4 IPS |
|
|
Style Transfer (Q)
|
100% |
123667
159.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17860
659.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20265
750.8 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2515
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2274
39.3 IPS |
