iPhone 16 Pro
Geekbench AI Score
4644
Single Precision Score
7827
Half Precision Score
6258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 04:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
3468
645.0 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18140
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15279
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3733
297.2 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3726
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7202
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4120
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13783
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9614
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37441
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30339
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6286
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6222
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4103
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7652
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7871
136.0 IPS |
