iPhone 16 Pro
Geekbench AI Score
4557
Single Precision Score
7750
Half Precision Score
6132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 14 2025 08:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
3385
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8766
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17781
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14817
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
97% |
3768
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2590
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7411
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4088
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7976
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13995
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9489
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20131
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36243
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29787
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4272
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7394
127.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7364
127.3 IPS |
