iPad14,6
Geekbench ML Score
5167
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 11 2024 03:09 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3302
617.8 IPS |
|
|
Image Classification (F16)
|
100% |
3442
644.0 IPS |
|
|
Image Classification (I8)
|
99% |
2992
559.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1430
23.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1517
25.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1516
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
22641
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
24988
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24570
29.8 IPS |
|
|
Object Detection (F32)
|
100% |
2818
210.4 IPS |
|
|
Object Detection (F16)
|
100% |
2831
211.4 IPS |
|
|
Object Detection (I8)
|
97% |
2586
193.0 IPS |
|
|
Face Detection (F32)
|
100% |
9287
110.4 IPS |
|
|
Face Detection (F16)
|
98% |
10562
125.6 IPS |
|
|
Face Detection (I8)
|
97% |
10151
120.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
15992
124.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17390
134.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
16170
125.4 IPS |
|
|
Style Transfer (F32)
|
100% |
39420
51.9 IPS |
|
|
Style Transfer (F16)
|
100% |
47023
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
42742
56.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7757
277.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10091
360.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9860
352.1 IPS |
|
|
Text Classification (F32)
|
100% |
1112
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
732
1.05 KIPS |
|
|
Text Classification (I8)
|
96% |
731
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
790
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
801
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
759
14.0 IPS |
