iPhone 16 Pro
Geekbench AI Score
4809
Single Precision Score
33044
Half Precision Score
45514
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | October 07 2025 12:29 PM |
| Views | 8 |
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% |
2089
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
15434
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20604
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18369
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24176
391.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9860
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153095
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293275
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (HP)
|
100% |
16272
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22755
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
40068
476.1 IPS |
|
|
Face Detection (Q)
|
100% |
57018
677.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95242
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159630
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22212
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245556
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302022
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52191
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85024
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4245
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4345
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10275
177.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11566
199.9 IPS |
