iPhone 16 Pro
Geekbench AI Score
6418
Single Precision Score
6861
Half Precision Score
6756
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 26 2026 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
3165
588.6 IPS |
|
|
Image Classification (HP)
|
100% |
3208
596.7 IPS |
|
|
Image Classification (Q)
|
96% |
3314
618.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4328
70.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15062
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17251
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17098
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3436
272.5 IPS |
|
|
Object Detection (HP)
|
100% |
3860
306.2 IPS |
|
|
Object Detection (Q)
|
91% |
3623
289.6 IPS |
|
|
Face Detection (SP)
|
100% |
7733
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10193
121.1 IPS |
|
|
Face Detection (Q)
|
100% |
9631
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12863
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8686
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10311
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22753
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22872
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23665
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4495
166.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4923
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
6225
8.31 KIPS |
|
|
Text Classification (HP)
|
100% |
8167
10.9 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2645
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2832
48.9 IPS |
