iPhone 15 Pro
Geekbench AI Score
3798
Single Precision Score
6932
Half Precision Score
5699
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 06:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1560
290.1 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
96% |
2044
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7692
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
16881
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14321
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
97% |
3284
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2369
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3856
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6772
52.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12718
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8960
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21219
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33843
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27855
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7371
127.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7439
128.6 IPS |
