iPhone 15 Pro
Geekbench AI Score
5057
Single Precision Score
5821
Half Precision Score
5284
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ale |
| Upload Date | November 01 2024 08:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (Q)
|
97% |
1770
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3930
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4028
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15169
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15810
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14934
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (Q)
|
91% |
2530
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
6501
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
9043
107.4 IPS |
|
|
Face Detection (Q)
|
100% |
6428
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11797
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12688
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11116
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30263
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34058
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31744
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6544
241.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5582
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
908
15.7 IPS |
