iPhone 16 Pro
Geekbench AI Score
5262
Single Precision Score
6354
Half Precision Score
6005
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:37 PM |
| Views | 1 |
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% |
2958
550.1 IPS |
|
|
Image Classification (HP)
|
100% |
2968
552.0 IPS |
|
|
Image Classification (Q)
|
97% |
2810
524.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4393
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4355
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16504
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15727
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (HP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (Q)
|
91% |
2810
224.5 IPS |
|
|
Face Detection (SP)
|
100% |
7803
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
10592
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
7132
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13328
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14455
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12404
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32294
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38093
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36185
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7933
292.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8320
307.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6614
244.2 IPS |
|
|
Text Classification (SP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
888
15.4 IPS |
