iPhone 16 Pro
Geekbench AI Score
5872
Single Precision Score
6788
Half Precision Score
6148
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | February 16 2025 10:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
2687
499.6 IPS |
|
|
Image Classification (Q)
|
97% |
2891
539.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4486
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4446
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15826
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16553
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15630
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3267
259.2 IPS |
|
|
Object Detection (HP)
|
100% |
3543
281.1 IPS |
|
|
Object Detection (Q)
|
91% |
2951
235.8 IPS |
|
|
Face Detection (SP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10868
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
7291
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13778
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14630
112.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12755
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33306
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39823
51.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36256
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8122
299.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8490
313.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6963
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
913
15.8 IPS |
