iPhone 13
Geekbench ML Score
2536
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 18 2024 10:36 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
700
131.0 IPS |
|
|
Image Classification (F16)
|
100% |
781
146.2 IPS |
|
|
Image Classification (I8)
|
99% |
720
134.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1156
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1169
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8329
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9993
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
9496
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
1088
81.2 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.1 IPS |
|
|
Object Detection (I8)
|
97% |
1020
76.2 IPS |
|
|
Face Detection (F32)
|
100% |
3740
44.5 IPS |
|
|
Face Detection (F16)
|
98% |
4718
56.1 IPS |
|
|
Face Detection (I8)
|
97% |
4864
57.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7590
58.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5177
40.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
5616
43.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14907
19.6 IPS |
|
|
Style Transfer (F16)
|
100% |
19567
25.7 IPS |
|
|
Style Transfer (I8)
|
100% |
19453
25.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3067
109.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3251
116.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3160
112.9 IPS |
|
|
Text Classification (F32)
|
100% |
2264
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
3862
5.55 KIPS |
|
|
Text Classification (I8)
|
96% |
3856
5.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
278
5.12 IPS |
|
|
Machine Translation (F16)
|
100% |
275
5.06 IPS |
|
|
Machine Translation (I8)
|
99% |
265
4.88 IPS |
