iPhone 16 Pro
Geekbench AI Score
4719
Single Precision Score
32994
Half Precision Score
45610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | April 04 2025 03:26 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
15021
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19858
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18319
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24029
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9516
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153716
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292672
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
16175
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22632
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
4002
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41178
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58107
690.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95250
733.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159830
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20903
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244438
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304690
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50770
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83626
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4553
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4736
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10083
173.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11000
190.1 IPS |
