iPhone 16 Pro
Geekbench AI Score
4617
Single Precision Score
7784
Half Precision Score
6183
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 02:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8983
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17711
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14830
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2334
185.1 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7597
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4136
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8149
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13926
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9792
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20118
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37528
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30271
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7223
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5147
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5946
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7430
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7398
127.8 IPS |
