iPhone 13
Geekbench ML Score
4651
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 22 2024 03:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
805
150.6 IPS |
|
|
Image Classification (F16)
|
100% |
5140
961.8 IPS |
|
|
Image Classification (I8)
|
99% |
5807
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1158
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1783
29.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1752
29.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9060
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
73683
89.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
74710
90.5 IPS |
|
|
Object Detection (F32)
|
100% |
1110
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
3521
262.9 IPS |
|
|
Object Detection (I8)
|
97% |
912
68.1 IPS |
|
|
Face Detection (F32)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (F16)
|
97% |
9818
116.7 IPS |
|
|
Face Detection (I8)
|
96% |
9847
117.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6041
46.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
32262
250.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
35303
273.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16653
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
96671
127.2 IPS |
|
|
Style Transfer (I8)
|
100% |
97094
127.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2982
106.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14230
508.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15076
538.4 IPS |
|
|
Text Classification (F32)
|
100% |
354
508.6 IPS |
|
|
Text Classification (F16)
|
100% |
835
1.20 KIPS |
|
|
Text Classification (I8)
|
96% |
339
486.6 IPS |
|
|
Machine Translation (F32)
|
100% |
503
9.26 IPS |
|
|
Machine Translation (F16)
|
100% |
1128
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
472
8.69 IPS |
