iPhone 15 Pro
Geekbench AI Score
5100
Single Precision Score
5938
Half Precision Score
4407
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | existential |
| Upload Date | August 16 2024 07:22 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.5 IPS |
|
|
Image Classification (Q)
|
99% |
1992
371.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3989
64.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15049
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15968
18.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
14448
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2793
221.5 IPS |
|
|
Object Detection (HP)
|
100% |
2765
219.3 IPS |
|
|
Object Detection (Q)
|
91% |
2308
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
6759
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
8954
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
6333
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11555
89.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12775
98.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1842
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29743
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35369
45.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35400
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6436
237.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5233
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
894
15.5 IPS |
