iPad Air (5th generation)
Geekbench AI Score
3233
Single Precision Score
5320
Half Precision Score
4386
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6548
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13951
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12056
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2449
195.0 IPS |
|
|
Object Detection (Q)
|
94% |
1805
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5567
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3213
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11090
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7675
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26341
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22030
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3878
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4222
73.0 IPS |
