iPhone 16 Pro
Geekbench AI Score
4658
Single Precision Score
7788
Half Precision Score
6250
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 05:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.3 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9276
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17781
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15043
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4129
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8191
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13770
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9696
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22604
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37302
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30425
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7186
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6235
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7848
135.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7940
137.2 IPS |
