iPad14,6
Geekbench ML Score
7469
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3374
631.3 IPS |
|
|
Image Classification (F16)
|
100% |
6423
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6884
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1608
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23586
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82715
100.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84808
102.7 IPS |
|
|
Object Detection (F32)
|
100% |
2844
212.3 IPS |
|
|
Object Detection (F16)
|
100% |
3846
287.1 IPS |
|
|
Object Detection (I8)
|
97% |
2615
195.2 IPS |
|
|
Face Detection (F32)
|
100% |
9328
110.9 IPS |
|
|
Face Detection (F16)
|
97% |
10686
127.1 IPS |
|
|
Face Detection (I8)
|
96% |
10656
126.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16312
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
39608
307.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
38957
302.1 IPS |
|
|
Style Transfer (F32)
|
100% |
41204
54.2 IPS |
|
|
Style Transfer (F16)
|
100% |
133765
176.0 IPS |
|
|
Style Transfer (I8)
|
100% |
130218
171.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9550
341.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18519
661.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18660
666.4 IPS |
|
|
Text Classification (F32)
|
100% |
1136
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
746
1.07 KIPS |
|
|
Text Classification (I8)
|
96% |
734
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2609
48.0 IPS |
|
|
Machine Translation (I8)
|
99% |
758
14.0 IPS |
