iPhone 16 Pro
Geekbench AI Score
5930
Single Precision Score
6779
Half Precision Score
6163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | saltcreek |
| Upload Date | December 27 2024 02:47 AM |
| 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% |
2927
544.4 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.0 IPS |
|
|
Image Classification (Q)
|
97% |
2855
532.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4413
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15804
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16460
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15731
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
3614
286.6 IPS |
|
|
Object Detection (Q)
|
91% |
2906
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
8165
97.0 IPS |
|
|
Face Detection (HP)
|
100% |
11074
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
7834
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14165
109.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15365
118.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13258
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32997
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38382
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37181
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8436
311.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6944
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
961
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
877
15.2 IPS |
