iPad14,8
Geekbench ML Score
7971
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | seanzxx |
| Upload Date | July 02 2024 09:38 AM |
| Views | 14 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,8 |
| Model ID | iPad14,8 |
| Motherboard | J507AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2745
513.7 IPS |
|
|
Image Classification (F16)
|
100% |
6724
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6975
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1357
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1562
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1593
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
20707
25.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
84789
102.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
87841
106.4 IPS |
|
|
Object Detection (F32)
|
100% |
2085
155.7 IPS |
|
|
Object Detection (F16)
|
100% |
3967
296.2 IPS |
|
|
Object Detection (I8)
|
97% |
2142
159.9 IPS |
|
|
Face Detection (F32)
|
100% |
8492
101.0 IPS |
|
|
Face Detection (F16)
|
97% |
12543
149.1 IPS |
|
|
Face Detection (I8)
|
96% |
12594
149.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14815
114.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40694
315.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
44732
346.9 IPS |
|
|
Style Transfer (F32)
|
100% |
36039
47.4 IPS |
|
|
Style Transfer (F16)
|
100% |
127335
167.5 IPS |
|
|
Style Transfer (I8)
|
100% |
124608
163.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6824
243.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18480
660.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18705
668.0 IPS |
|
|
Text Classification (F32)
|
100% |
1977
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3344
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3273
4.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
693
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2500
46.0 IPS |
|
|
Machine Translation (I8)
|
99% |
512
9.41 IPS |
