iPhone 13 Pro
Geekbench ML Score
5651
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 10 2024 08:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1266
236.9 IPS |
|
|
Image Classification (F16)
|
100% |
4056
759.0 IPS |
|
|
Image Classification (I8)
|
99% |
4063
760.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1588
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1528
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11023
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
53994
65.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
77854
94.3 IPS |
|
|
Object Detection (F32)
|
100% |
1624
121.2 IPS |
|
|
Object Detection (F16)
|
100% |
3867
288.7 IPS |
|
|
Object Detection (I8)
|
97% |
1370
102.3 IPS |
|
|
Face Detection (F32)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
11792
140.2 IPS |
|
|
Face Detection (I8)
|
96% |
10975
130.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8657
67.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
29527
229.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
26326
204.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18656
24.5 IPS |
|
|
Style Transfer (F16)
|
100% |
92915
122.2 IPS |
|
|
Style Transfer (I8)
|
100% |
87973
115.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4054
144.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15189
542.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15281
545.7 IPS |
|
|
Text Classification (F32)
|
100% |
2256
3.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2305
3.31 KIPS |
|
|
Text Classification (I8)
|
96% |
2139
3.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
534
9.83 IPS |
|
|
Machine Translation (F16)
|
100% |
1077
19.8 IPS |
|
|
Machine Translation (I8)
|
99% |
536
9.86 IPS |
