iPhone 13
Geekbench ML Score
3230
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 06:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1386
259.3 IPS |
|
|
Image Classification (F16)
|
100% |
1733
324.4 IPS |
|
|
Image Classification (I8)
|
99% |
1739
325.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
796
13.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5332
6.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
13090
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13172
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1343
100.2 IPS |
|
|
Object Detection (F16)
|
100% |
1845
137.8 IPS |
|
|
Object Detection (I8)
|
97% |
1334
99.6 IPS |
|
|
Face Detection (F32)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (F16)
|
97% |
3721
44.2 IPS |
|
|
Face Detection (I8)
|
97% |
3701
44.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4730
36.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7880
61.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7843
60.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15832
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
24515
32.2 IPS |
|
|
Style Transfer (I8)
|
100% |
24563
32.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3693
131.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4931
176.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4912
175.4 IPS |
|
|
Text Classification (F32)
|
100% |
2198
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3503
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1244
22.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1026
18.9 IPS |
