iPhone 13
Geekbench ML Score
3580
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 06:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1278
239.1 IPS |
|
|
Image Classification (F16)
|
100% |
2297
429.9 IPS |
|
|
Image Classification (I8)
|
99% |
2255
422.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
868
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1129
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1132
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5471
6.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
12774
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12833
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1296
96.7 IPS |
|
|
Object Detection (F16)
|
100% |
2249
167.9 IPS |
|
|
Object Detection (I8)
|
97% |
1306
97.5 IPS |
|
|
Face Detection (F32)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (F16)
|
97% |
5061
60.2 IPS |
|
|
Face Detection (I8)
|
97% |
5113
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5142
39.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10832
84.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10619
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16715
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25390
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
25434
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4032
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4853
173.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4897
174.9 IPS |
|
|
Text Classification (F32)
|
100% |
2196
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3654
5.25 KIPS |
|
|
Text Classification (I8)
|
96% |
3721
5.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1006
18.5 IPS |
