iPhone 15 Pro
Geekbench ML Score
4056
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 02:06 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% |
1727
323.1 IPS |
|
|
Image Classification (F16)
|
100% |
2158
403.8 IPS |
|
|
Image Classification (I8)
|
99% |
2153
402.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
909
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
871
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
861
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7458
9.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
16359
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16021
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1657
123.7 IPS |
|
|
Object Detection (F16)
|
100% |
2287
170.7 IPS |
|
|
Object Detection (I8)
|
97% |
1662
124.0 IPS |
|
|
Face Detection (F32)
|
100% |
2857
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4809
57.2 IPS |
|
|
Face Detection (I8)
|
97% |
4796
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6356
49.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9716
75.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9680
75.1 IPS |
|
|
Style Transfer (F32)
|
100% |
20231
26.6 IPS |
|
|
Style Transfer (F16)
|
100% |
30128
39.6 IPS |
|
|
Style Transfer (I8)
|
100% |
30372
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5156
184.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6118
218.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6073
216.9 IPS |
|
|
Text Classification (F32)
|
100% |
2933
4.22 KIPS |
|
|
Text Classification (F16)
|
100% |
4745
6.82 KIPS |
|
|
Text Classification (I8)
|
96% |
4791
6.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1606
29.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1301
23.9 IPS |
