iPhone 15 Pro
Geekbench ML Score
3638
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 08:21 AM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1744
326.4 IPS |
|
|
Image Classification (F16)
|
100% |
1574
294.6 IPS |
|
|
Image Classification (I8)
|
99% |
1737
325.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1482
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1609
26.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1608
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14687
17.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
15831
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15574
18.9 IPS |
|
|
Object Detection (F32)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (F16)
|
100% |
1526
113.9 IPS |
|
|
Object Detection (I8)
|
97% |
1503
112.2 IPS |
|
|
Face Detection (F32)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (F16)
|
98% |
8439
100.3 IPS |
|
|
Face Detection (I8)
|
97% |
8586
102.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12256
95.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13872
107.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12691
98.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28179
37.1 IPS |
|
|
Style Transfer (F16)
|
100% |
31723
41.7 IPS |
|
|
Style Transfer (I8)
|
100% |
32406
42.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6862
245.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7566
270.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7143
255.1 IPS |
|
|
Text Classification (F32)
|
100% |
453
651.5 IPS |
|
|
Text Classification (F16)
|
100% |
485
697.4 IPS |
|
|
Text Classification (I8)
|
96% |
299
429.5 IPS |
|
|
Machine Translation (F32)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
784
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
690
12.7 IPS |
