iPad14,4
Geekbench ML Score
3884
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 02:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.36 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1363
255.0 IPS |
|
|
Image Classification (F16)
|
100% |
2503
468.4 IPS |
|
|
Image Classification (I8)
|
99% |
2503
468.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1104
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6550
7.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
14053
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14111
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1419
106.0 IPS |
|
|
Object Detection (F16)
|
100% |
2462
183.8 IPS |
|
|
Object Detection (I8)
|
97% |
1426
106.5 IPS |
|
|
Face Detection (F32)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5839
69.4 IPS |
|
|
Face Detection (I8)
|
97% |
5839
69.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5595
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11603
90.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
11677
90.6 IPS |
|
|
Style Transfer (F32)
|
100% |
18125
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
27946
36.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27928
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4973
177.6 IPS |
|
|
Text Classification (F32)
|
100% |
2072
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3403
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3460
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1611
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1366
25.1 IPS |
