iPhone 16 Pro
Geekbench AI Score
5827
Single Precision Score
6883
Half Precision Score
6063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 02:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
3137
583.4 IPS |
|
|
Image Classification (HP)
|
100% |
3167
589.0 IPS |
|
|
Image Classification (Q)
|
97% |
2968
553.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3579
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4454
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4405
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15896
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16659
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15952
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3506
278.1 IPS |
|
|
Object Detection (Q)
|
91% |
2875
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
10785
128.2 IPS |
|
|
Face Detection (Q)
|
100% |
7225
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13539
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14547
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12695
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33213
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39899
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36686
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8140
300.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8479
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6804
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
3407
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5813
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5877
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
832
14.4 IPS |
