iPhone 15 Pro
Geekbench AI Score
3854
Single Precision Score
6953
Half Precision Score
5724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:09 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% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.2 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3042
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7905
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
17254
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14899
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2373
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3872
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6927
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12780
98.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9017
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21645
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34041
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28160
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4394
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5458
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7455
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7391
127.7 IPS |
