iPhone 16 Pro
Geekbench AI Score
4553
Single Precision Score
7761
Half Precision Score
6127
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8909
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17700
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14925
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3919
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7848
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13891
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19711
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36743
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29827
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5960
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7385
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7433
128.4 IPS |
