iPhone 16 Pro
Geekbench AI Score
6143
Single Precision Score
7103
Half Precision Score
6861
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | July 23 2025 10:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2952
549.0 IPS |
|
|
Image Classification (HP)
|
100% |
2603
484.1 IPS |
|
|
Image Classification (Q)
|
96% |
3113
581.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4492
72.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4981
80.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4829
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15720
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17394
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17238
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (Q)
|
92% |
3211
256.3 IPS |
|
|
Face Detection (SP)
|
100% |
7696
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
10957
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
8692
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13849
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15135
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14204
110.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33253
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40717
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39232
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8073
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8298
306.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7652
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
