iPhone 16 Pro
Geekbench AI Score
4372
Single Precision Score
32795
Half Precision Score
44080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
14711
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18505
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18031
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23646
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8023
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
136248
159.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276475
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
15264
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
20711
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41120
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
52930
628.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7521
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
93035
716.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
148551
1.16 KIPS |
|
|
Style Transfer (SP)
|
100% |
19821
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
243333
312.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293726
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50260
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78201
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9384
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10399
179.7 IPS |
