iPad Air (5th generation)
Geekbench ML Score
6134
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | j0hnd03 |
| Upload Date | January 19 2024 07:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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 |
| 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% |
1544
288.9 IPS |
|
|
Image Classification (F16)
|
100% |
6157
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6305
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
835
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16077
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
62324
75.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63067
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
1386
103.5 IPS |
|
|
Object Detection (F16)
|
100% |
3874
289.2 IPS |
|
|
Object Detection (I8)
|
97% |
1474
110.1 IPS |
|
|
Face Detection (F32)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (F16)
|
97% |
12166
144.7 IPS |
|
|
Face Detection (I8)
|
96% |
12274
145.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12022
93.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
41793
324.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
30209
234.3 IPS |
|
|
Style Transfer (F32)
|
100% |
27199
35.8 IPS |
|
|
Style Transfer (F16)
|
100% |
112431
147.9 IPS |
|
|
Style Transfer (I8)
|
100% |
117286
154.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4731
169.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18245
651.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18100
646.4 IPS |
|
|
Text Classification (F32)
|
100% |
1167
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2294
3.30 KIPS |
|
|
Text Classification (I8)
|
96% |
2347
3.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1775
32.7 IPS |
|
|
Machine Translation (I8)
|
99% |
525
9.66 IPS |
