iPhone 16 Pro
Geekbench AI Score
4578
Single Precision Score
7828
Half Precision Score
6227
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | neo828 |
| Upload Date | February 11 2025 09:45 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9132
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18475
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15782
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7562
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4247
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14327
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24397
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37876
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30868
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7087
122.5 IPS |
