iPhone 15 Pro
Geekbench ML Score
9202
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 01 2025 09:13 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1999
374.1 IPS |
|
|
Image Classification (F16)
|
100% |
10018
1.87 KIPS |
|
|
Image Classification (I8)
|
99% |
11698
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1415
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2391
39.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2428
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13161
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
98186
118.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
99605
120.6 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
5456
407.3 IPS |
|
|
Object Detection (I8)
|
97% |
1535
114.6 IPS |
|
|
Face Detection (F32)
|
100% |
6211
73.9 IPS |
|
|
Face Detection (F16)
|
97% |
20306
241.4 IPS |
|
|
Face Detection (I8)
|
96% |
20114
239.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11410
88.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50628
392.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
50788
393.9 IPS |
|
|
Style Transfer (F32)
|
100% |
27666
36.4 IPS |
|
|
Style Transfer (F16)
|
100% |
136334
179.3 IPS |
|
|
Style Transfer (I8)
|
100% |
135166
177.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6168
220.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31924
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
33916
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
2942
4.23 KIPS |
|
|
Text Classification (F16)
|
100% |
5045
7.25 KIPS |
|
|
Text Classification (I8)
|
96% |
5051
7.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
941
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1586
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
931
17.1 IPS |
