iPhone 13
Geekbench ML Score
4549
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:14 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
586
109.7 IPS |
|
|
Image Classification (F16)
|
100% |
4947
925.7 IPS |
|
|
Image Classification (I8)
|
99% |
4714
882.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1185
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1767
29.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1740
29.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9006
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
73410
88.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
61416
74.4 IPS |
|
|
Object Detection (F32)
|
100% |
1094
81.7 IPS |
|
|
Object Detection (F16)
|
100% |
3259
243.3 IPS |
|
|
Object Detection (I8)
|
97% |
967
72.2 IPS |
|
|
Face Detection (F32)
|
100% |
3950
47.0 IPS |
|
|
Face Detection (F16)
|
97% |
9717
115.5 IPS |
|
|
Face Detection (I8)
|
96% |
9755
116.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5510
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
32674
253.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
38691
300.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16709
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
97436
128.2 IPS |
|
|
Style Transfer (I8)
|
100% |
98959
130.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2579
92.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13659
487.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13894
496.2 IPS |
|
|
Text Classification (F32)
|
100% |
358
513.8 IPS |
|
|
Text Classification (F16)
|
100% |
823
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
493
708.3 IPS |
|
|
Machine Translation (F32)
|
100% |
493
9.07 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
470
8.64 IPS |
