iPhone 16 Pro
Geekbench AI Score
5969
Single Precision Score
7012
Half Precision Score
6741
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 15 2025 04:54 AM |
| Views | 5 |
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% |
2778
516.6 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.1 IPS |
|
|
Image Classification (Q)
|
96% |
3082
575.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4414
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4853
78.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4703
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15470
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16931
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16556
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.8 IPS |
|
|
Object Detection (HP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (Q)
|
92% |
3338
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
7578
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10643
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
8565
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13330
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14461
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13486
105.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32446
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40098
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37645
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7327
270.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8109
299.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7637
282.0 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5942
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5928
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1229
21.2 IPS |
