iPhone 13
Geekbench ML Score
3237
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 25 2024 04:03 PM |
| Views | 2 |
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% |
1402
262.4 IPS |
|
|
Image Classification (F16)
|
100% |
1732
324.1 IPS |
|
|
Image Classification (I8)
|
99% |
1737
325.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
801
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5457
6.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
12987
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13389
16.2 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
1863
139.1 IPS |
|
|
Object Detection (I8)
|
97% |
1348
100.7 IPS |
|
|
Face Detection (F32)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
3813
45.3 IPS |
|
|
Face Detection (I8)
|
97% |
3765
44.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4701
36.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8005
62.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7911
61.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16001
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24881
32.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24932
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3688
131.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4970
177.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
2176
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3058
4.39 KIPS |
|
|
Text Classification (I8)
|
96% |
3043
4.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1308
24.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1058
19.5 IPS |
