iPad Air (5th generation)
Geekbench AI Score
4921
Single Precision Score
5771
Half Precision Score
5050
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
2242
416.9 IPS |
|
|
Image Classification (Q)
|
97% |
2009
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3656
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3732
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16960
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18261
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17008
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2716
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2225
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
8515
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
5856
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12215
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13713
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11451
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28676
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34764
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32004
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6356
234.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5375
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
