iPhone 13 Pro
Geekbench ML Score
3310
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 07:22 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1394
260.8 IPS |
|
|
Image Classification (F16)
|
100% |
1748
327.0 IPS |
|
|
Image Classification (I8)
|
99% |
1734
324.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
774
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
767
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5841
7.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
13443
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13421
16.3 IPS |
|
|
Object Detection (F32)
|
100% |
1364
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
1842
137.5 IPS |
|
|
Object Detection (I8)
|
97% |
1360
101.6 IPS |
|
|
Face Detection (F32)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (F16)
|
97% |
3972
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3980
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5019
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8111
62.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8125
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16209
21.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25003
32.9 IPS |
|
|
Style Transfer (I8)
|
100% |
25005
32.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3739
133.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4945
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4923
175.8 IPS |
|
|
Text Classification (F32)
|
100% |
2193
3.15 KIPS |
|
|
Text Classification (F16)
|
100% |
3424
4.92 KIPS |
|
|
Text Classification (I8)
|
96% |
3471
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1418
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1152
21.2 IPS |
