iPad Air (5th generation)
Geekbench ML Score
6676
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2024 11:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1225
229.3 IPS |
|
|
Image Classification (F16)
|
100% |
5957
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
6167
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1108
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1108
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16600
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
63929
77.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
61974
75.0 IPS |
|
|
Object Detection (F32)
|
100% |
1461
109.1 IPS |
|
|
Object Detection (F16)
|
100% |
3916
292.4 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.3 IPS |
|
|
Face Detection (F32)
|
100% |
5993
71.3 IPS |
|
|
Face Detection (F16)
|
97% |
12011
142.8 IPS |
|
|
Face Detection (I8)
|
96% |
12007
142.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12173
94.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
40260
312.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
42213
327.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26553
34.9 IPS |
|
|
Style Transfer (F16)
|
100% |
112210
147.6 IPS |
|
|
Style Transfer (I8)
|
100% |
118215
155.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4676
167.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23720
847.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23382
835.0 IPS |
|
|
Text Classification (F32)
|
100% |
2136
3.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3532
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3515
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
528
9.71 IPS |
|
|
Machine Translation (F16)
|
100% |
1651
30.4 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.3 IPS |
