iPhone 16 Pro
Geekbench AI Score
5643
Single Precision Score
6449
Half Precision Score
5944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2702
502.6 IPS |
|
|
Image Classification (HP)
|
100% |
2695
501.3 IPS |
|
|
Image Classification (Q)
|
97% |
2757
514.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4417
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15627
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16455
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15743
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3649
289.5 IPS |
|
|
Object Detection (Q)
|
91% |
2829
226.1 IPS |
|
|
Face Detection (SP)
|
100% |
7677
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10773
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7170
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13286
102.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11935
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12535
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32587
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36733
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35050
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7952
293.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8285
305.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6719
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
834
14.4 IPS |
