iPhone 15 Pro
Geekbench ML Score
9142
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 01 2025 09:01 AM |
| Views | 7 |
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% |
1761
329.6 IPS |
|
|
Image Classification (F16)
|
100% |
9898
1.85 KIPS |
|
|
Image Classification (I8)
|
99% |
11470
2.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1442
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2414
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2414
40.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
13226
16.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
97587
118.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
99633
120.7 IPS |
|
|
Object Detection (F32)
|
100% |
1912
142.8 IPS |
|
|
Object Detection (F16)
|
100% |
5771
430.9 IPS |
|
|
Object Detection (I8)
|
97% |
1511
112.8 IPS |
|
|
Face Detection (F32)
|
100% |
5819
69.2 IPS |
|
|
Face Detection (F16)
|
97% |
19816
235.6 IPS |
|
|
Face Detection (I8)
|
96% |
19844
235.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11527
89.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
52402
406.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
46817
363.1 IPS |
|
|
Style Transfer (F32)
|
100% |
25820
34.0 IPS |
|
|
Style Transfer (F16)
|
100% |
126873
166.9 IPS |
|
|
Style Transfer (I8)
|
100% |
134617
177.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6448
230.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32545
1.16 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
31513
1.13 KIPS |
|
|
Text Classification (F32)
|
100% |
2931
4.21 KIPS |
|
|
Text Classification (F16)
|
100% |
5007
7.20 KIPS |
|
|
Text Classification (I8)
|
96% |
5093
7.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
917
16.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (I8)
|
99% |
919
16.9 IPS |
