iPad Air (5th generation)
Geekbench ML Score
7007
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 08:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1554
290.7 IPS |
|
|
Image Classification (F16)
|
100% |
6142
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6475
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3974
66.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3923
65.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16741
20.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
63615
77.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64107
77.6 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
4037
301.4 IPS |
|
|
Object Detection (I8)
|
97% |
1641
122.5 IPS |
|
|
Face Detection (F32)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (F16)
|
97% |
11856
141.0 IPS |
|
|
Face Detection (I8)
|
96% |
11791
140.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12603
97.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
40464
313.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
45036
349.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26925
35.4 IPS |
|
|
Style Transfer (F16)
|
100% |
113534
149.3 IPS |
|
|
Style Transfer (I8)
|
100% |
117428
154.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4836
172.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18315
654.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18223
650.8 IPS |
|
|
Text Classification (F32)
|
100% |
1171
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2441
3.51 KIPS |
|
|
Text Classification (I8)
|
96% |
2323
3.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
573
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1777
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
583
10.7 IPS |
