iPhone 16 Pro
Geekbench AI Score
4637
Single Precision Score
7831
Half Precision Score
6292
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | February 11 2025 02:22 AM |
| Views | 5 |
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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.8 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9325
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18837
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16159
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2203
174.8 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7587
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8046
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14439
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24980
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37915
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31110
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5828
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5857
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6014
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7130
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7122
123.1 IPS |
