iPhone 13
Geekbench ML Score
3832
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 05:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1340
250.7 IPS |
|
|
Image Classification (F16)
|
100% |
2325
435.0 IPS |
|
|
Image Classification (I8)
|
99% |
2333
436.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
921
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1234
20.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1229
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6516
7.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
13946
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14097
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1384
103.3 IPS |
|
|
Object Detection (F16)
|
100% |
2293
171.2 IPS |
|
|
Object Detection (I8)
|
97% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
2799
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
5585
66.4 IPS |
|
|
Face Detection (I8)
|
97% |
5587
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5625
43.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
11246
87.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11285
87.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17692
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
26502
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26480
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4172
149.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4951
176.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4929
176.0 IPS |
|
|
Text Classification (F32)
|
100% |
2211
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
3754
5.40 KIPS |
|
|
Text Classification (I8)
|
96% |
3756
5.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1271
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1211
22.3 IPS |
