iPhone 15 Pro
Geekbench ML Score
2570
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 22 2023 12:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1478
276.6 IPS |
|
|
Image Classification (F16)
|
100% |
1253
234.5 IPS |
|
|
Image Classification (I8)
|
99% |
1254
234.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
669
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
596
9.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
7909
9.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
14102
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14091
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1472
109.9 IPS |
|
|
Object Detection (F16)
|
100% |
1415
105.7 IPS |
|
|
Object Detection (I8)
|
97% |
1485
110.8 IPS |
|
|
Face Detection (F32)
|
100% |
2460
29.3 IPS |
|
|
Face Detection (F16)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (I8)
|
99% |
2146
25.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4967
38.5 IPS |
|
|
Depth Estimation (F16)
|
99% |
5065
39.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
5073
39.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13158
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
15372
20.2 IPS |
|
|
Style Transfer (I8)
|
100% |
15415
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4595
164.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3689
131.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3709
132.5 IPS |
|
|
Text Classification (F32)
|
100% |
1700
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (I8)
|
96% |
1064
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1154
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
