iPhone 16 Pro
Geekbench AI Score
5800
Single Precision Score
6688
Half Precision Score
6035
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 11:42 PM |
| Views | 3 |
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% |
2928
544.6 IPS |
|
|
Image Classification (HP)
|
100% |
2602
483.9 IPS |
|
|
Image Classification (Q)
|
97% |
2760
515.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4432
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4392
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15777
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16539
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15606
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3264
258.9 IPS |
|
|
Object Detection (HP)
|
100% |
3609
286.3 IPS |
|
|
Object Detection (Q)
|
91% |
2890
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
10667
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7195
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13806
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14477
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12639
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33115
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39507
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35410
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8076
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8463
312.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6829
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5917
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
906
15.6 IPS |
