iPhone 13
Geekbench ML Score
1944
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 02 2024 07:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
946
177.0 IPS |
|
|
Image Classification (F16)
|
100% |
913
170.8 IPS |
|
|
Image Classification (I8)
|
99% |
908
170.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
625
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
568
9.49 IPS |
|
|
Image Segmentation (I8)
|
100% |
567
9.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
5843
7.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
9338
11.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9290
11.2 IPS |
|
|
Object Detection (F32)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (F16)
|
100% |
1054
78.7 IPS |
|
|
Object Detection (I8)
|
97% |
1063
79.3 IPS |
|
|
Face Detection (F32)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1628
19.4 IPS |
|
|
Face Detection (I8)
|
99% |
1620
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3410
26.4 IPS |
|
|
Depth Estimation (F16)
|
99% |
3663
28.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
3619
28.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10303
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
11861
15.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11835
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2543
90.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2556
91.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2528
90.3 IPS |
|
|
Text Classification (F32)
|
100% |
1006
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
480
689.3 IPS |
|
|
Text Classification (I8)
|
96% |
642
923.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1352
24.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1790
32.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1345
24.7 IPS |
