iPhone 13
Geekbench ML Score
3300
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 02:35 AM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1372
256.6 IPS |
|
|
Image Classification (F16)
|
100% |
1744
326.3 IPS |
|
|
Image Classification (I8)
|
99% |
1744
326.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
811
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5419
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
13167
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13177
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1366
102.0 IPS |
|
|
Object Detection (F16)
|
100% |
1883
140.6 IPS |
|
|
Object Detection (I8)
|
97% |
1369
102.2 IPS |
|
|
Face Detection (F32)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (F16)
|
97% |
3805
45.2 IPS |
|
|
Face Detection (I8)
|
97% |
3792
45.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4795
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7850
60.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
7841
60.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16294
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25027
32.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25220
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3779
135.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5096
182.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5101
182.2 IPS |
|
|
Text Classification (F32)
|
100% |
2217
3.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3536
5.08 KIPS |
|
|
Text Classification (I8)
|
96% |
3522
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1321
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1095
20.1 IPS |
