iPhone 16 Pro
Geekbench AI Score
5834
Single Precision Score
6703
Half Precision Score
6069
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 02:48 PM |
| Views | 1 |
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% |
3059
568.9 IPS |
|
|
Image Classification (HP)
|
100% |
3015
560.8 IPS |
|
|
Image Classification (Q)
|
97% |
2835
529.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3569
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4445
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4413
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15756
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16531
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15567
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (HP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (Q)
|
91% |
2875
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
7829
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10668
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7192
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13437
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14455
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12573
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33247
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37502
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36272
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8011
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8454
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6826
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5809
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
932
16.1 IPS |
