iPhone 15 Pro
Geekbench AI Score
5080
Single Precision Score
5906
Half Precision Score
5182
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:44 AM |
| Views | 1 |
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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
2130
396.1 IPS |
|
|
Image Classification (Q)
|
97% |
1883
351.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15112
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15965
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14637
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (Q)
|
91% |
2278
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8853
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
5953
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11593
89.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12841
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10466
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30118
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35456
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31912
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6469
238.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5382
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
950
16.4 IPS |
