iPad Air (5th generation)
Geekbench AI Score
2475
Single Precision Score
13916
Half Precision Score
13988
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 02:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
5973
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5393
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1233
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8713
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8699
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3273
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
43765
51.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59067
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.0 IPS |
|
|
Object Detection (HP)
|
99% |
6190
492.4 IPS |
|
|
Object Detection (Q)
|
91% |
5995
479.1 IPS |
|
|
Face Detection (SP)
|
100% |
1675
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
13458
159.9 IPS |
|
|
Face Detection (Q)
|
100% |
11869
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2871
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47297
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48374
378.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14737
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122705
157.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110417
142.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23141
854.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22704
838.4 IPS |
|
|
Text Classification (SP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3558
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3373
58.3 IPS |
