iPad Air (5th generation)
Geekbench AI Score
2778
Single Precision Score
4703
Half Precision Score
3892
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
1560
290.1 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5619
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13156
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
7993
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2384
189.8 IPS |
|
|
Object Detection (Q)
|
94% |
1751
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5447
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3068
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5066
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10948
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7056
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12661
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24580
31.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20000
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4246
156.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3242
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3461
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3592
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3080
53.2 IPS |
