iPhone 13
Geekbench ML Score
3786
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 06:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1347
252.1 IPS |
|
|
Image Classification (F16)
|
100% |
2322
434.4 IPS |
|
|
Image Classification (I8)
|
99% |
2327
435.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
913
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1229
20.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1217
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6287
7.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
13925
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14004
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1377
102.8 IPS |
|
|
Object Detection (F16)
|
100% |
2278
170.0 IPS |
|
|
Object Detection (I8)
|
97% |
1381
103.1 IPS |
|
|
Face Detection (F32)
|
100% |
2809
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5534
65.8 IPS |
|
|
Face Detection (I8)
|
97% |
5560
66.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5556
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11182
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
11270
87.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17518
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
26557
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26527
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4129
147.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4885
174.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4935
176.2 IPS |
|
|
Text Classification (F32)
|
100% |
2197
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3667
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3687
5.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1198
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1376
25.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1156
21.3 IPS |
