iPhone 16 Pro
Geekbench AI Score
5990
Single Precision Score
7219
Half Precision Score
6764
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3005
558.8 IPS |
|
|
Image Classification (HP)
|
100% |
3122
580.5 IPS |
|
|
Image Classification (Q)
|
96% |
3141
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4364
70.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4908
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4717
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15163
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17872
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17026
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3150
249.9 IPS |
|
|
Object Detection (HP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (Q)
|
92% |
3422
273.1 IPS |
|
|
Face Detection (SP)
|
100% |
7474
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
10571
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8051
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12997
100.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14770
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13912
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31412
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39260
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38334
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7474
276.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8115
299.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7120
262.9 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
