iPhone 16 Pro
Geekbench AI Score
4658
Single Precision Score
33236
Half Precision Score
45838
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 08:01 PM |
| Views | 5 |
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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
14854
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
20410
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18356
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24090
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151394
176.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292342
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
16274
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22556
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41185
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58870
699.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95857
738.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160114
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20579
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244592
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302397
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50383
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84591
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4493
6.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4279
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10290
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11661
201.5 IPS |
