iPhone 16 Pro
Geekbench AI Score
4356
Single Precision Score
7591
Half Precision Score
6057
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 30 2025 09:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
2859
531.7 IPS |
|
|
Image Classification (Q)
|
96% |
2230
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3165
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8328
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
16918
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14470
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3860
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
3813
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7916
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14091
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9696
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19511
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36929
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29960
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7324
270.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5882
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7347
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7421
128.3 IPS |
