iPhone 16 Pro
Geekbench AI Score
4744
Single Precision Score
7940
Half Precision Score
6317
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Hjacobson |
| Upload Date | September 07 2025 12:43 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.8 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2881
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9824
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19173
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16142
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7651
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4275
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14521
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10139
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21418
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38092
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31273
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7378
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5208
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5948
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7502
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7474
129.2 IPS |
