iPhone 15 Pro
Geekbench AI Score
4955
Single Precision Score
5945
Half Precision Score
5651
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 10:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1840
342.2 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (Q)
|
96% |
2068
386.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4260
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4097
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13193
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15019
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14542
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
92% |
2525
201.6 IPS |
|
|
Face Detection (SP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
8570
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
6972
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10837
83.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12362
95.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11241
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26812
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32643
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32486
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5570
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5229
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5316
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1418
24.5 IPS |
