iPhone 15 Pro
Geekbench ML Score
3724
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 02:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5 |
| 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% |
1639
306.7 IPS |
|
|
Image Classification (F16)
|
100% |
1534
287.0 IPS |
|
|
Image Classification (I8)
|
99% |
1926
360.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1596
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1560
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14613
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
15832
19.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
15385
18.6 IPS |
|
|
Object Detection (F32)
|
100% |
1401
104.6 IPS |
|
|
Object Detection (F16)
|
100% |
2600
194.1 IPS |
|
|
Object Detection (I8)
|
97% |
1649
123.1 IPS |
|
|
Face Detection (F32)
|
100% |
6450
76.7 IPS |
|
|
Face Detection (F16)
|
98% |
8178
97.2 IPS |
|
|
Face Detection (I8)
|
97% |
8567
101.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12134
94.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13756
106.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
12730
98.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28853
38.0 IPS |
|
|
Style Transfer (F16)
|
100% |
36789
48.4 IPS |
|
|
Style Transfer (I8)
|
100% |
35141
46.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6972
249.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5775
206.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6757
241.3 IPS |
|
|
Text Classification (F32)
|
100% |
627
900.7 IPS |
|
|
Text Classification (F16)
|
100% |
500
719.2 IPS |
|
|
Text Classification (I8)
|
96% |
305
438.2 IPS |
|
|
Machine Translation (F32)
|
100% |
733
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
791
14.6 IPS |
|
|
Machine Translation (I8)
|
99% |
690
12.7 IPS |
