iPhone 16 Pro
Geekbench AI Score
5855
Single Precision Score
6704
Half Precision Score
6079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 04 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.4 IPS |
|
|
Image Classification (Q)
|
97% |
2808
524.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4400
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16494
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15782
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3338
264.8 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
91% |
2880
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
8171
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
10960
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
7701
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14058
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15176
116.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12524
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32678
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38397
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37173
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8019
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8278
305.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6837
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
850
14.7 IPS |
