iPhone 15 Pro
Geekbench AI Score
3941
Single Precision Score
6875
Half Precision Score
5601
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.3 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3075
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8088
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
16247
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14177
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
3322
264.4 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3167
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6782
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3858
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6898
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13345
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9205
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21115
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32288
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27232
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5909
218.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4363
161.1 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5799
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6055
104.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6064
104.8 IPS |
