iPhone 15 Pro
Geekbench ML Score
3538
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2024 07:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1359
254.3 IPS |
|
|
Image Classification (F16)
|
100% |
1287
240.9 IPS |
|
|
Image Classification (I8)
|
99% |
1727
323.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1482
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1629
27.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1623
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14800
17.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
15769
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15387
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1589
118.6 IPS |
|
|
Object Detection (F16)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (I8)
|
97% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
6347
75.5 IPS |
|
|
Face Detection (F16)
|
98% |
8192
97.4 IPS |
|
|
Face Detection (I8)
|
97% |
8586
102.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12481
96.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13819
107.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12567
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29406
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31830
41.9 IPS |
|
|
Style Transfer (I8)
|
100% |
31551
41.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6897
246.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5425
193.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6285
224.5 IPS |
|
|
Text Classification (F32)
|
100% |
450
646.1 IPS |
|
|
Text Classification (F16)
|
100% |
482
692.4 IPS |
|
|
Text Classification (I8)
|
96% |
306
440.3 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
677
12.5 IPS |
