iPhone 16 Pro
Geekbench AI Score
6106
Single Precision Score
7102
Half Precision Score
6813
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sinanthonyxd |
| Upload Date | July 11 2025 03:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3016
560.8 IPS |
|
|
Image Classification (HP)
|
100% |
2738
509.2 IPS |
|
|
Image Classification (Q)
|
96% |
3137
585.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15574
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16954
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
92% |
3200
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
7823
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10863
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
8698
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13547
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15053
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14025
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32978
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38726
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38532
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8014
295.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8333
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7658
282.8 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
