iPhone 15 Pro
Geekbench AI Score
3718
Single Precision Score
5477
Half Precision Score
4750
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2081
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7802
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
16098
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14015
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
97% |
2579
205.3 IPS |
|
|
Object Detection (Q)
|
94% |
1984
158.1 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4930
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6182
47.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9651
74.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7229
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20124
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30438
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25813
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5724
211.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4562
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
