iPhone 16 Pro
Geekbench AI Score
4419
Single Precision Score
7488
Half Precision Score
5904
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.4 IPS |
|
|
Image Classification (Q)
|
96% |
2301
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3146
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13964
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2558
203.9 IPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6860
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3805
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7514
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12890
99.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8963
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20739
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34027
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27573
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5069
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4116
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7578
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7349
127.0 IPS |
