iPhone 15 Pro
Geekbench AI Score
3928
Single Precision Score
25051
Half Precision Score
35570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | December 16 2025 05:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
10723
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
15680
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1576
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15589
252.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21360
346.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8335
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
107079
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204075
239.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13549
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18841
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33701
400.4 IPS |
|
|
Face Detection (Q)
|
100% |
52624
625.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6915
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78490
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
126824
991.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205799
264.6 IPS |
|
|
Style Transfer (Q)
|
96% |
255640
329.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33643
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57991
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (Q)
|
93% |
3454
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6482
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7369
127.3 IPS |
