iPhone 16 Pro
Geekbench AI Score
4578
Single Precision Score
7754
Half Precision Score
6150
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | July 11 2025 03:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3398
632.0 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8900
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17860
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14957
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7404
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4113
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7987
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14076
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9606
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19950
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36787
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29879
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5086
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5873
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7332
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7371
127.4 IPS |
