iPhone 16 Pro
Geekbench AI Score
5769
Single Precision Score
6851
Half Precision Score
5990
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 31 2024 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3073
571.5 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.9 IPS |
|
|
Image Classification (Q)
|
97% |
2832
528.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3564
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4407
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4351
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15698
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16470
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15505
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3478
275.9 IPS |
|
|
Object Detection (Q)
|
91% |
2843
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
7881
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
10726
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
7138
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13360
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14354
110.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12580
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32860
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39490
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35277
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7981
294.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8438
311.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6805
251.3 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
