iPhone 13
Geekbench ML Score
3301
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 22 2025 01:58 AM |
| Views | 2 |
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% |
1405
262.9 IPS |
|
|
Image Classification (F16)
|
100% |
1745
326.6 IPS |
|
|
Image Classification (I8)
|
99% |
1746
326.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
823
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
817
13.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5632
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
13577
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13564
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1384
103.3 IPS |
|
|
Object Detection (F16)
|
100% |
1857
138.6 IPS |
|
|
Object Detection (I8)
|
97% |
1380
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
2460
29.3 IPS |
|
|
Face Detection (F16)
|
97% |
3901
46.4 IPS |
|
|
Face Detection (I8)
|
97% |
3905
46.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4949
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8177
63.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8162
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16273
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25099
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25119
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3734
133.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4860
173.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4886
174.5 IPS |
|
|
Text Classification (F32)
|
100% |
2199
3.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3155
4.53 KIPS |
|
|
Text Classification (I8)
|
96% |
3153
4.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1129
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1101
20.3 IPS |
