iPad14,8
Geekbench ML Score
9527
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2831
529.8 IPS |
|
|
Image Classification (F16)
|
100% |
11133
2.08 KIPS |
|
|
Image Classification (I8)
|
99% |
12040
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1862
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1859
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
21289
25.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
95742
115.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
96191
116.5 IPS |
|
|
Object Detection (F32)
|
100% |
2701
201.7 IPS |
|
|
Object Detection (F16)
|
100% |
5245
391.6 IPS |
|
|
Object Detection (I8)
|
97% |
2501
186.7 IPS |
|
|
Face Detection (F32)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (F16)
|
97% |
19226
228.6 IPS |
|
|
Face Detection (I8)
|
96% |
19481
231.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15218
118.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
52461
406.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
49613
384.7 IPS |
|
|
Style Transfer (F32)
|
100% |
37434
49.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148297
195.1 IPS |
|
|
Style Transfer (I8)
|
100% |
151299
199.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6384
228.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32860
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34704
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2030
2.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3386
4.87 KIPS |
|
|
Text Classification (I8)
|
96% |
3377
4.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
781
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2522
46.4 IPS |
|
|
Machine Translation (I8)
|
99% |
542
9.97 IPS |
