iPhone 16 Pro
Geekbench AI Score
6157
Single Precision Score
7085
Half Precision Score
6744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | September 08 2025 10:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3061
569.2 IPS |
|
|
Image Classification (HP)
|
100% |
2951
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
3115
581.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4389
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4882
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4727
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15562
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17271
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16809
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3180
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
3441
272.9 IPS |
|
|
Object Detection (Q)
|
92% |
3135
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
7894
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
10606
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
8589
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13541
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14780
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13847
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32879
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38595
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38822
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7958
293.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8203
302.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7593
280.4 IPS |
|
|
Text Classification (SP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1211
20.9 IPS |
