iPhone 13
Geekbench ML Score
3237
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 09:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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 | 3.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1380
258.2 IPS |
|
|
Image Classification (F16)
|
100% |
1739
325.4 IPS |
|
|
Image Classification (I8)
|
99% |
1740
325.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
787
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5419
6.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
13223
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
13281
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1852
138.3 IPS |
|
|
Object Detection (I8)
|
97% |
1334
99.6 IPS |
|
|
Face Detection (F32)
|
100% |
2318
27.6 IPS |
|
|
Face Detection (F16)
|
97% |
3730
44.4 IPS |
|
|
Face Detection (I8)
|
97% |
3710
44.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4791
37.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7990
62.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
7895
61.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16113
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24713
32.5 IPS |
|
|
Style Transfer (I8)
|
100% |
24635
32.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3641
130.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4881
174.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4845
173.0 IPS |
|
|
Text Classification (F32)
|
100% |
2190
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3496
5.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1251
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1037
19.1 IPS |
