iPhone 15 Pro
Geekbench AI Score
3955
Single Precision Score
6970
Half Precision Score
5701
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | December 16 2025 05:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1630
303.1 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.0 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3018
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8501
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
17373
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14873
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3313
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6665
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3814
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7090
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12856
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21950
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34746
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28813
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6666
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6638
114.7 IPS |
