iPhone 15 Pro
Geekbench AI Score
3828
Single Precision Score
6824
Half Precision Score
5477
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:55 AM |
| 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% |
1647
306.4 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
96% |
2006
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7418
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15152
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13125
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
3292
262.1 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3716
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6569
50.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12932
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8964
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20066
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32155
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26937
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6074
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6038
104.3 IPS |
