iPhone 15 Pro
Geekbench AI Score
3882
Single Precision Score
6743
Half Precision Score
5532
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | neo828 |
| Upload Date | September 30 2024 06:22 AM |
| Views | 7 |
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% |
1691
314.4 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.1 IPS |
|
|
Image Classification (Q)
|
96% |
2026
378.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3075
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7813
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
15813
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13817
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6642
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3784
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6827
52.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13097
101.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9039
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20453
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31640
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26816
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3161
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6064
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.6 IPS |
