iPhone 13
Geekbench ML Score
3124
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 03:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
739
138.3 IPS |
|
|
Image Classification (F16)
|
100% |
2578
482.5 IPS |
|
|
Image Classification (I8)
|
99% |
2899
542.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
820
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
930
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
926
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6740
8.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
31898
38.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
32376
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
772
57.6 IPS |
|
|
Object Detection (F16)
|
100% |
2097
156.6 IPS |
|
|
Object Detection (I8)
|
97% |
766
57.2 IPS |
|
|
Face Detection (F32)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (F16)
|
97% |
4912
58.4 IPS |
|
|
Face Detection (I8)
|
96% |
4921
58.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5807
45.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
21514
166.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
22078
171.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14260
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
57112
75.1 IPS |
|
|
Style Transfer (I8)
|
100% |
59196
77.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2817
100.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8196
292.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8278
295.6 IPS |
|
|
Text Classification (F32)
|
100% |
297
427.3 IPS |
|
|
Text Classification (F16)
|
100% |
799
1.15 KIPS |
|
|
Text Classification (I8)
|
96% |
324
465.2 IPS |
|
|
Machine Translation (F32)
|
100% |
356
6.54 IPS |
|
|
Machine Translation (F16)
|
100% |
1117
20.6 IPS |
|
|
Machine Translation (I8)
|
99% |
326
6.00 IPS |
