iPhone 15 Pro
Geekbench AI Score
3954
Single Precision Score
6832
Half Precision Score
5577
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1739
323.4 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.0 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7860
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
16044
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13951
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
97% |
3329
265.0 IPS |
|
|
Object Detection (Q)
|
94% |
2346
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6772
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6995
53.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13432
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9153
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20641
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32046
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27152
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4808
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5794
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6048
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6078
105.0 IPS |
