iPhone 16 Pro
Geekbench AI Score
5978
Single Precision Score
7184
Half Precision Score
6775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 13 2025 12:32 PM |
| Views | 12 |
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% |
2929
544.8 IPS |
|
|
Image Classification (HP)
|
100% |
3014
560.5 IPS |
|
|
Image Classification (Q)
|
96% |
3119
582.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4253
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4724
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15094
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17646
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16976
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.5 IPS |
|
|
Object Detection (HP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (Q)
|
92% |
3138
250.5 IPS |
|
|
Face Detection (SP)
|
100% |
7361
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
10599
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
8618
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12851
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14966
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14056
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31095
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39590
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38939
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7613
281.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8184
302.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7161
264.4 IPS |
|
|
Text Classification (SP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6374
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1205
20.8 IPS |
