iPhone 16 Pro
Geekbench AI Score
4668
Single Precision Score
7898
Half Precision Score
6268
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9456
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18657
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15700
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7639
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4229
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14462
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9874
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20892
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37958
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30680
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5537
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7295
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5995
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7442
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7436
128.5 IPS |
