iPhone 13
Geekbench ML Score
3309
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 19 2024 01:18 AM |
| Views | 1 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1404
262.6 IPS |
|
|
Image Classification (F16)
|
100% |
1757
328.8 IPS |
|
|
Image Classification (I8)
|
99% |
1748
327.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
813
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5590
6.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
13371
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
13403
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
1866
139.3 IPS |
|
|
Object Detection (I8)
|
97% |
1376
102.7 IPS |
|
|
Face Detection (F32)
|
100% |
2418
28.8 IPS |
|
|
Face Detection (F16)
|
97% |
3853
45.8 IPS |
|
|
Face Detection (I8)
|
97% |
3828
45.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4847
37.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7797
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7961
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16190
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
24766
32.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25239
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3816
136.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5075
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5089
181.8 IPS |
|
|
Text Classification (F32)
|
100% |
2229
3.20 KIPS |
|
|
Text Classification (F16)
|
100% |
3580
5.14 KIPS |
|
|
Text Classification (I8)
|
96% |
3587
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1274
23.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1061
19.5 IPS |
