iPhone 13
Geekbench ML Score
1534
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 01:20 PM |
| 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% |
603
112.9 IPS |
|
|
Image Classification (F16)
|
100% |
768
143.8 IPS |
|
|
Image Classification (I8)
|
99% |
772
144.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
421
7.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
416
6.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
416
6.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
2584
3.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
5884
7.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
5983
7.24 IPS |
|
|
Object Detection (F32)
|
100% |
603
45.0 IPS |
|
|
Object Detection (F16)
|
100% |
812
60.6 IPS |
|
|
Object Detection (I8)
|
97% |
602
44.9 IPS |
|
|
Face Detection (F32)
|
100% |
1312
15.6 IPS |
|
|
Face Detection (F16)
|
97% |
1797
21.4 IPS |
|
|
Face Detection (I8)
|
97% |
1796
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2194
17.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3492
27.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3478
27.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7170
9.43 IPS |
|
|
Style Transfer (F16)
|
100% |
11067
14.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11118
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1672
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2236
79.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2243
80.1 IPS |
|
|
Text Classification (F32)
|
100% |
1047
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1693
2.43 KIPS |
|
|
Text Classification (I8)
|
96% |
1706
2.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
574
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
651
12.0 IPS |
|
|
Machine Translation (I8)
|
99% |
572
10.5 IPS |
