iPhone 15 Pro
Geekbench AI Score
3734
Single Precision Score
5489
Half Precision Score
4761
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 10:52 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (Q)
|
96% |
1653
308.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7840
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16345
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14169
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
97% |
2606
207.4 IPS |
|
|
Object Detection (Q)
|
94% |
1993
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
2916
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
4927
58.5 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9605
74.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7291
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20144
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30647
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25736
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4513
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4533
78.3 IPS |
