iPhone 16 Pro
Geekbench AI Score
3961
Single Precision Score
6781
Half Precision Score
5257
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 07:04 AM |
| Views | 1 |
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% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3406
633.4 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3248
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9487
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18723
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14191
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
97% |
3449
274.6 IPS |
|
|
Object Detection (Q)
|
94% |
2341
186.6 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
4963
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
2828
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7409
57.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6696
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16540
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34860
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26167
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6441
237.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6698
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5205
89.9 IPS |
