iPhone 13
Geekbench ML Score
3274
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:16 PM |
| Views | 3 |
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% |
1398
261.6 IPS |
|
|
Image Classification (F16)
|
100% |
1761
329.4 IPS |
|
|
Image Classification (I8)
|
99% |
1751
327.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
813
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
803
13.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5485
6.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
13264
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13326
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1346
100.5 IPS |
|
|
Object Detection (F16)
|
100% |
1895
141.4 IPS |
|
|
Object Detection (I8)
|
97% |
1358
101.4 IPS |
|
|
Face Detection (F32)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
3781
45.0 IPS |
|
|
Face Detection (I8)
|
97% |
3777
44.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4885
37.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7960
61.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8059
62.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16021
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24789
32.6 IPS |
|
|
Style Transfer (I8)
|
100% |
24979
32.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3695
132.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4858
173.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5039
179.9 IPS |
|
|
Text Classification (F32)
|
100% |
2200
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3519
5.06 KIPS |
|
|
Text Classification (I8)
|
96% |
3491
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1078
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1040
19.1 IPS |
