iPhone 16 Pro
Geekbench AI Score
4663
Single Precision Score
7777
Half Precision Score
6252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rossivr771 |
| Upload Date | October 09 2025 01:23 AM |
| Views | 4 |
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% |
2044
380.0 IPS |
|
|
Image Classification (HP)
|
100% |
3452
641.9 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9320
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18034
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15498
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2637
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7108
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8158
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13740
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9636
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22527
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37539
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30763
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7165
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6073
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7528
130.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7614
131.6 IPS |
