iPhone 15 Pro
Geekbench AI Score
3766
Single Precision Score
6927
Half Precision Score
5690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.4 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2989
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7274
8.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
16075
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13871
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1642
130.2 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2335
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3831
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12720
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8921
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20801
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33306
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27545
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4407
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5952
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3164
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7345
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7347
127.0 IPS |
