iPhone 15 Pro
Geekbench ML Score
1852
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 03:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
758
141.9 IPS |
|
|
Image Classification (F16)
|
100% |
941
176.0 IPS |
|
|
Image Classification (I8)
|
99% |
933
174.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
494
8.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
461
7.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
465
7.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
3683
4.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
7119
8.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
7091
8.59 IPS |
|
|
Object Detection (F32)
|
100% |
732
54.7 IPS |
|
|
Object Detection (F16)
|
100% |
994
74.2 IPS |
|
|
Object Detection (I8)
|
97% |
730
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
1367
16.3 IPS |
|
|
Face Detection (F16)
|
97% |
2183
26.0 IPS |
|
|
Face Detection (I8)
|
97% |
2172
25.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2874
22.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
4282
33.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
4270
33.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8847
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13154
17.3 IPS |
|
|
Style Transfer (I8)
|
100% |
13136
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2297
82.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2668
95.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2684
95.9 IPS |
|
|
Text Classification (F32)
|
100% |
1255
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
2062
2.96 KIPS |
|
|
Text Classification (I8)
|
96% |
2065
2.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
659
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
