iPad14,6
Geekbench ML Score
8628
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 13 2024 02:07 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3347
626.4 IPS |
|
|
Image Classification (F16)
|
100% |
6714
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7254
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1602
26.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
22675
27.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
83093
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
85415
103.4 IPS |
|
|
Object Detection (F32)
|
100% |
2804
209.3 IPS |
|
|
Object Detection (F16)
|
100% |
4296
320.7 IPS |
|
|
Object Detection (I8)
|
97% |
2627
196.1 IPS |
|
|
Face Detection (F32)
|
100% |
8850
105.2 IPS |
|
|
Face Detection (F16)
|
97% |
12596
149.8 IPS |
|
|
Face Detection (I8)
|
96% |
12661
150.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16177
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
44700
346.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
44820
347.6 IPS |
|
|
Style Transfer (F32)
|
100% |
40085
52.7 IPS |
|
|
Style Transfer (F16)
|
100% |
127383
167.6 IPS |
|
|
Style Transfer (I8)
|
100% |
121193
159.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9859
352.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17467
623.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19048
680.2 IPS |
|
|
Text Classification (F32)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3470
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3345
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
864
15.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2687
49.4 IPS |
|
|
Machine Translation (I8)
|
99% |
783
14.4 IPS |
