iPhone 16 Pro
Geekbench AI Score
6080
Single Precision Score
7007
Half Precision Score
6751
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:13 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
100% |
2659
494.5 IPS |
|
|
Image Classification (Q)
|
96% |
3023
564.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4926
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15614
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17065
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16891
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3409
270.4 IPS |
|
|
Object Detection (Q)
|
92% |
3154
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
7549
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
10713
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
8568
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13776
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14810
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13955
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32988
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38654
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39043
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8060
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8293
306.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7528
278.0 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
