iPhone 16 Pro
Geekbench AI Score
4454
Single Precision Score
7664
Half Precision Score
6082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 09:39 PM |
| Views | 1 |
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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.8 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8474
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
16928
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14500
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2256
178.9 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7246
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4022
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7747
59.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13990
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9514
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19053
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36621
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29525
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5109
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5112
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7261
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7366
127.3 IPS |
