iPhone 16 Pro
Geekbench AI Score
4498
Single Precision Score
7737
Half Precision Score
6158
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 07:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2249
419.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17940
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15241
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2141
169.9 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7531
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4229
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7621
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14195
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9750
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23717
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37321
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30612
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6808
251.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4847
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7007
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.6 IPS |
