iPad14,6
Geekbench ML Score
6022
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 11 2024 07:09 PM |
| Views | 5 |
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 | 15.35 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3314
620.1 IPS |
|
|
Image Classification (F16)
|
100% |
3577
669.4 IPS |
|
|
Image Classification (I8)
|
99% |
3160
591.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1433
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1505
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23473
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
25349
30.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24559
29.7 IPS |
|
|
Object Detection (F32)
|
100% |
2853
213.0 IPS |
|
|
Object Detection (F16)
|
100% |
2991
223.3 IPS |
|
|
Object Detection (I8)
|
97% |
2642
197.2 IPS |
|
|
Face Detection (F32)
|
100% |
8947
106.4 IPS |
|
|
Face Detection (F16)
|
98% |
11272
134.0 IPS |
|
|
Face Detection (I8)
|
97% |
10891
129.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16241
125.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17631
136.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
16072
124.6 IPS |
|
|
Style Transfer (F32)
|
100% |
37946
49.9 IPS |
|
|
Style Transfer (F16)
|
100% |
46603
61.3 IPS |
|
|
Style Transfer (I8)
|
100% |
46377
61.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9776
349.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10226
365.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9588
342.4 IPS |
|
|
Text Classification (F32)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3410
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3393
4.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
882
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
841
15.5 IPS |
