iPhone 15 Pro
Geekbench AI Score
4988
Single Precision Score
5918
Half Precision Score
5318
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1953
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
1930
358.9 IPS |
|
|
Image Classification (Q)
|
97% |
1848
345.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3938
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14971
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15793
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14933
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
2806
222.6 IPS |
|
|
Object Detection (Q)
|
91% |
2395
191.4 IPS |
|
|
Face Detection (SP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
9578
113.8 IPS |
|
|
Face Detection (Q)
|
100% |
6728
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12140
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12813
98.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10885
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28993
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34913
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32821
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6390
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6693
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5742
212.0 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
905
15.6 IPS |
