iPhone 16 Pro
Geekbench AI Score
5786
Single Precision Score
6761
Half Precision Score
6050
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 12 2024 01:23 AM |
| Views | 13 |
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% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
2654
493.6 IPS |
|
|
Image Classification (Q)
|
97% |
2901
541.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4380
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15664
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15531
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3573
283.4 IPS |
|
|
Object Detection (Q)
|
91% |
2835
226.5 IPS |
|
|
Face Detection (SP)
|
100% |
8044
95.6 IPS |
|
|
Face Detection (HP)
|
100% |
10628
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7140
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13447
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14425
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12311
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33219
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39467
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35703
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8010
295.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8454
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6063
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
