iPhone 15 Pro
Geekbench AI Score
3980
Single Precision Score
6839
Half Precision Score
5592
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:55 PM |
| Views | 1 |
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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.5 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3089
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8136
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16516
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14196
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3383
269.4 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7100
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13442
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9281
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21124
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32280
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27312
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4395
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6100
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6122
105.8 IPS |
