iPhone 16 Pro
Geekbench AI Score
5833
Single Precision Score
6584
Half Precision Score
6200
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | January 22 2025 07:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
3034
564.3 IPS |
|
|
Image Classification (HP)
|
100% |
1956
363.7 IPS |
|
|
Image Classification (Q)
|
97% |
2851
532.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4410
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15779
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16412
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15699
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3262
258.7 IPS |
|
|
Object Detection (HP)
|
100% |
3557
282.2 IPS |
|
|
Object Detection (Q)
|
91% |
2876
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
8137
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
11044
131.2 IPS |
|
|
Face Detection (Q)
|
100% |
7756
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14087
108.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15273
117.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
13192
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32534
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38178
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
37111
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8039
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8469
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6877
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5973
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
