iPhone 16 Pro
Geekbench AI Score
5959
Single Precision Score
7107
Half Precision Score
6691
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | December 03 2025 12:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3044
566.0 IPS |
|
|
Image Classification (HP)
|
100% |
2628
488.7 IPS |
|
|
Image Classification (Q)
|
96% |
3032
566.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4432
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4963
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4784
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15212
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18378
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17508
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3189
253.0 IPS |
|
|
Object Detection (HP)
|
100% |
3455
274.1 IPS |
|
|
Object Detection (Q)
|
92% |
3249
259.4 IPS |
|
|
Face Detection (SP)
|
100% |
7450
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
10725
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
8535
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11825
91.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14254
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
12819
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29230
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38179
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37171
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7791
287.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6521
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6233
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1338
23.1 IPS |
