iPhone 16 Pro
Geekbench AI Score
4640
Single Precision Score
7865
Half Precision Score
6261
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 07:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.8 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9293
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18387
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15373
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7591
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14486
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9835
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20252
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37546
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30847
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5407
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7334
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5953
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7412
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7351
127.0 IPS |
