iPhone 16 Pro
Geekbench AI Score
4117
Single Precision Score
7069
Half Precision Score
5593
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | July 02 2025 05:41 PM |
| Views | 10 |
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% |
1966
365.6 IPS |
|
|
Image Classification (HP)
|
100% |
3260
606.3 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3062
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8136
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
15654
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13753
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
97% |
3427
272.9 IPS |
|
|
Object Detection (Q)
|
94% |
2364
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6770
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3682
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6845
52.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12413
96.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8544
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16786
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31443
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25435
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6492
239.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6748
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7208
124.6 IPS |
