iPhone 16 Pro
Geekbench AI Score
4732
Single Precision Score
5446
Half Precision Score
5239
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | July 12 2025 01:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
856
159.1 IPS |
|
|
Image Classification (HP)
|
100% |
905
168.2 IPS |
|
|
Image Classification (Q)
|
96% |
1017
189.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4529
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4974
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4783
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15801
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17161
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17153
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (HP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (Q)
|
92% |
1615
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10221
121.4 IPS |
|
|
Face Detection (Q)
|
100% |
8244
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13619
104.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14630
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13766
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31937
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38476
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38527
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4367
161.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3954
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6026
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1110
19.2 IPS |
