iPhone 16 Pro
Geekbench AI Score
4640
Single Precision Score
7834
Half Precision Score
6236
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 06 2025 01:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18190
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15503
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8147
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14440
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9817
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20379
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37897
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30679
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7263
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5138
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7390
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7384
127.6 IPS |
