iPhone 13 Pro
Geekbench ML Score
1905
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 06:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
701
131.3 IPS |
|
|
Image Classification (F16)
|
100% |
699
130.8 IPS |
|
|
Image Classification (I8)
|
99% |
714
133.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
831
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
861
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10645
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11970
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11587
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1008
75.3 IPS |
|
|
Object Detection (F16)
|
100% |
957
71.4 IPS |
|
|
Object Detection (I8)
|
97% |
884
66.0 IPS |
|
|
Face Detection (F32)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (F16)
|
97% |
3212
38.2 IPS |
|
|
Face Detection (I8)
|
96% |
3806
45.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6203
48.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6531
50.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
5943
46.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15830
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
18044
23.7 IPS |
|
|
Style Transfer (I8)
|
100% |
18049
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3021
107.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3030
108.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2862
102.2 IPS |
|
|
Text Classification (F32)
|
100% |
322
462.8 IPS |
|
|
Text Classification (F16)
|
100% |
321
461.3 IPS |
|
|
Text Classification (I8)
|
96% |
203
291.3 IPS |
|
|
Machine Translation (F32)
|
100% |
337
6.21 IPS |
|
|
Machine Translation (F16)
|
100% |
358
6.60 IPS |
|
|
Machine Translation (I8)
|
99% |
289
5.31 IPS |
