iPhone 16 Pro
Geekbench AI Score
5823
Single Precision Score
6593
Half Precision Score
6081
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 16 2025 03:57 PM |
| Views | 5 |
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% |
3096
575.7 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (Q)
|
97% |
2791
520.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3495
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4379
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15681
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16434
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15649
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3457
274.2 IPS |
|
|
Object Detection (Q)
|
91% |
2859
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
7955
94.5 IPS |
|
|
Face Detection (HP)
|
100% |
11003
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
7692
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14058
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15198
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12561
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32657
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38248
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36991
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7974
294.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8423
311.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6818
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5812
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
893
15.4 IPS |
