iPhone 16 Pro
Geekbench AI Score
1936
Single Precision Score
3352
Half Precision Score
2634
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 01:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
854
158.8 IPS |
|
|
Image Classification (HP)
|
100% |
1355
251.9 IPS |
|
|
Image Classification (Q)
|
96% |
920
171.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1391
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3953
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8059
9.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
6885
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
97% |
1636
130.2 IPS |
|
|
Object Detection (Q)
|
94% |
1144
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3275
38.9 IPS |
|
|
Face Detection (Q)
|
100% |
1714
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3592
27.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
6212
48.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4273
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9971
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15960
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12985
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2070
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2396
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3373
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3386
58.5 IPS |
