iPhone 15 Pro
Geekbench ML Score
3756
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 29 2024 07:45 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1570
293.8 IPS |
|
|
Image Classification (F16)
|
100% |
1501
281.0 IPS |
|
|
Image Classification (I8)
|
99% |
1678
314.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1634
27.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1586
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14553
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
15833
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15421
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
2406
179.6 IPS |
|
|
Object Detection (F16)
|
100% |
1519
113.4 IPS |
|
|
Object Detection (I8)
|
97% |
2244
167.5 IPS |
|
|
Face Detection (F32)
|
100% |
6442
76.6 IPS |
|
|
Face Detection (F16)
|
98% |
8368
99.5 IPS |
|
|
Face Detection (I8)
|
97% |
8661
103.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12160
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13888
107.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
12766
99.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28118
37.0 IPS |
|
|
Style Transfer (F16)
|
100% |
35609
46.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31305
41.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6814
243.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6065
216.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7461
266.5 IPS |
|
|
Text Classification (F32)
|
100% |
443
637.1 IPS |
|
|
Text Classification (F16)
|
100% |
482
692.1 IPS |
|
|
Text Classification (I8)
|
96% |
475
682.6 IPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
792
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
