iPhone 16 Pro
Geekbench AI Score
5954
Single Precision Score
7104
Half Precision Score
6649
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 11:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2901
539.6 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (Q)
|
96% |
3164
590.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4844
78.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4679
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15002
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17379
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16757
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3086
244.7 IPS |
|
|
Object Detection (HP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (Q)
|
92% |
3147
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
7166
85.2 IPS |
|
|
Face Detection (HP)
|
100% |
10375
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
7970
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12928
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14896
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13735
107.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30852
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38864
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38298
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7417
273.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8053
297.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6916
255.4 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1233
21.3 IPS |
