iPhone 16 Pro
Geekbench AI Score
5817
Single Precision Score
6775
Half Precision Score
6032
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:28 AM |
| 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% |
3025
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
3051
567.4 IPS |
|
|
Image Classification (Q)
|
97% |
2840
529.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3543
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4399
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4401
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15613
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16535
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15549
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3339
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
3471
275.3 IPS |
|
|
Object Detection (Q)
|
91% |
2960
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
10682
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
7110
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13418
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14470
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12428
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32914
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39648
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35523
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8039
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8466
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.0 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5875
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
886
15.3 IPS |
