iPhone 16 Pro
Geekbench AI Score
4624
Single Precision Score
7873
Half Precision Score
6284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | May 26 2025 01:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9035
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18040
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15503
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.3 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4222
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14424
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10027
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20621
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37554
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31209
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7408
273.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5097
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6053
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7548
130.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7570
130.8 IPS |
