iPad14,10
Geekbench ML Score
4635
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 19 2024 09:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| Model | iPad14,10 |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2819
527.6 IPS |
|
|
Image Classification (F16)
|
100% |
2809
525.7 IPS |
|
|
Image Classification (I8)
|
99% |
2629
491.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1376
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1452
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1436
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
20681
25.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
22188
26.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
22249
26.9 IPS |
|
|
Object Detection (F32)
|
100% |
2197
164.0 IPS |
|
|
Object Detection (F16)
|
100% |
2623
195.8 IPS |
|
|
Object Detection (I8)
|
97% |
2171
162.1 IPS |
|
|
Face Detection (F32)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (F16)
|
98% |
9847
117.1 IPS |
|
|
Face Detection (I8)
|
97% |
8164
97.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15204
117.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
16058
124.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
14646
113.6 IPS |
|
|
Style Transfer (F32)
|
100% |
36359
47.8 IPS |
|
|
Style Transfer (F16)
|
100% |
42740
56.2 IPS |
|
|
Style Transfer (I8)
|
100% |
42431
55.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6786
242.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9275
331.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6631
236.8 IPS |
|
|
Text Classification (F32)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
731
1.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
716
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
701
12.9 IPS |
|
|
Machine Translation (I8)
|
99% |
761
14.0 IPS |
