iPhone 15 Pro
Geekbench AI Score
5050
Single Precision Score
5897
Half Precision Score
5486
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 29 2025 04:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1917
356.4 IPS |
|
|
Image Classification (HP)
|
100% |
1885
350.5 IPS |
|
|
Image Classification (Q)
|
96% |
1572
293.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13387
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14506
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14200
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (Q)
|
92% |
2435
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (HP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
6832
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11202
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12205
94.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11188
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27031
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31967
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31473
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5741
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5537
204.4 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5649
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1485
25.7 IPS |
