iPhone 16 Pro (LPM) iPhone 16 Pro
Geekbench AI Score
2273
Single Precision Score
15269
Half Precision Score
21142
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 10:08 AM |
| Views | 12 |
| Notes | Low power mode |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
7887
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
10647
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8541
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11191
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4521
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
62792
73.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
122851
144.0 IPS |
|
|
Object Detection (SP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (HP)
|
100% |
7453
591.2 IPS |
|
|
Object Detection (Q)
|
91% |
10713
856.0 IPS |
|
|
Face Detection (SP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
19484
231.5 IPS |
|
|
Face Detection (Q)
|
100% |
24913
296.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3696
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41494
319.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
70434
550.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9626
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
113248
145.6 IPS |
|
|
Style Transfer (Q)
|
96% |
142307
183.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2620
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23870
881.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36565
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2302
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5415
93.6 IPS |
