iPhone 15 Pro
Geekbench AI Score
3852
Single Precision Score
6809
Half Precision Score
5510
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | acuesta |
| Upload Date | October 11 2024 12:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7497
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15225
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13502
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3301
262.8 IPS |
|
|
Object Detection (Q)
|
94% |
2314
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6654
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3765
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6741
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12991
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8889
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19958
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32046
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26646
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4598
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4370
161.4 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6075
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6212
107.3 IPS |
