iPhone 15 Pro
Geekbench ML Score
4109
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 07:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1732
324.1 IPS |
|
|
Image Classification (F16)
|
100% |
2158
403.9 IPS |
|
|
Image Classification (I8)
|
99% |
2169
405.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
909
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
881
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7877
9.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
16456
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16537
20.0 IPS |
|
|
Object Detection (F32)
|
100% |
1672
124.8 IPS |
|
|
Object Detection (F16)
|
100% |
2292
171.1 IPS |
|
|
Object Detection (I8)
|
97% |
1664
124.2 IPS |
|
|
Face Detection (F32)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
4892
58.2 IPS |
|
|
Face Detection (I8)
|
97% |
4893
58.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6551
50.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
9761
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9748
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20649
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30246
39.8 IPS |
|
|
Style Transfer (I8)
|
100% |
30039
39.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5278
188.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6246
223.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5903
210.8 IPS |
|
|
Text Classification (F32)
|
100% |
2970
4.27 KIPS |
|
|
Text Classification (F16)
|
100% |
4819
6.93 KIPS |
|
|
Text Classification (I8)
|
96% |
4819
6.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1360
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1665
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |
