iPhone 16 Pro
Geekbench AI Score
4476
Single Precision Score
7660
Half Precision Score
6129
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 10:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3381
628.8 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17597
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14876
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7486
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13832
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9548
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23312
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36596
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29723
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5436
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6864
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7002
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7087
122.5 IPS |
