iPad Air (5th generation)
Geekbench AI Score
3231
Single Precision Score
5311
Half Precision Score
4329
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 31 2024 11:34 PM |
| Views | 4 |
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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2188
407.0 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13959
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11275
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2437
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5560
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3194
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11068
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7654
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17245
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26289
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21988
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4440
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3727
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3881
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4186
72.3 IPS |
