iPhone 16 Pro
Geekbench AI Score
4153
Single Precision Score
7321
Half Precision Score
5886
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 02:27 PM |
| Views | 2 |
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% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
2556
475.3 IPS |
|
|
Image Classification (Q)
|
96% |
1912
357.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3229
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
16632
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14291
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
7317
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4043
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7266
56.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13763
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9323
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22852
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35709
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29481
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5889
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6852
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6930
119.8 IPS |
