iPhone 16 Pro
Geekbench AI Score
5757
Single Precision Score
6726
Half Precision Score
6008
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A481216 |
| Upload Date | December 26 2024 02:22 PM |
| Views | 4 |
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% |
3019
561.4 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
97% |
2802
522.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3530
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4457
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4420
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15566
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16385
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15361
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3498
277.5 IPS |
|
|
Object Detection (Q)
|
91% |
2837
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
7846
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10937
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
7226
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13308
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14838
114.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12565
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32547
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38439
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36359
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8200
302.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8462
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7142
263.7 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5992
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5897
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
