iPhone 13
Geekbench ML Score
3590
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 05:23 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1326
248.1 IPS |
|
|
Image Classification (F16)
|
100% |
2314
432.9 IPS |
|
|
Image Classification (I8)
|
99% |
2303
431.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1162
19.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1152
19.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5653
6.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
13103
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12979
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1287
96.0 IPS |
|
|
Object Detection (F16)
|
100% |
2258
168.5 IPS |
|
|
Object Detection (I8)
|
97% |
1304
97.4 IPS |
|
|
Face Detection (F32)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
5117
60.8 IPS |
|
|
Face Detection (I8)
|
97% |
5108
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5146
39.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10725
83.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
10671
82.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16270
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25354
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
25267
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3945
140.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4867
173.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4816
172.0 IPS |
|
|
Text Classification (F32)
|
100% |
2185
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3629
5.22 KIPS |
|
|
Text Classification (I8)
|
96% |
3629
5.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1201
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1011
18.6 IPS |
