iPad Air (5th generation)
Geekbench AI Score
3229
Single Precision Score
5329
Half Precision Score
4387
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | November 05 2024 11:03 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13953
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2438
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1782
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5763
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11073
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7667
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17148
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26306
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22003
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4469
165.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3411
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3968
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4241
73.3 IPS |
