iPad Air (5th generation)
Geekbench AI Score
3238
Single Precision Score
14322
Half Precision Score
14051
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 15 2024 04:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
6040
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
6029
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6656
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6774
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67651
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65671
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7229
575.1 IPS |
|
|
Object Detection (Q)
|
91% |
6711
536.3 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16160
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
15098
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47266
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47011
367.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17186
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120034
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113687
146.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23103
853.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23850
880.7 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3765
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2313
40.0 IPS |
