iPhone 16 Pro
Geekbench AI Score
4655
Single Precision Score
7883
Half Precision Score
6252
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 11:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2970
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9108
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18047
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15404
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2357
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3934
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7534
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4197
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8243
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14349
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9998
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20483
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37335
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30966
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7343
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5118
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5925
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7385
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7412
128.1 IPS |
