iPhone 16 Pro
Geekbench AI Score
5811
Single Precision Score
6762
Half Precision Score
6014
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | March 16 2025 12:20 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2973
552.8 IPS |
|
|
Image Classification (HP)
|
100% |
3113
578.9 IPS |
|
|
Image Classification (Q)
|
97% |
2775
517.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3511
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4417
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4343
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15618
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16282
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15547
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3318
263.2 IPS |
|
|
Object Detection (HP)
|
100% |
3460
274.4 IPS |
|
|
Object Detection (Q)
|
91% |
2813
224.8 IPS |
|
|
Face Detection (SP)
|
100% |
7755
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10580
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
7071
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13328
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14279
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12243
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33064
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39497
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35798
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8034
296.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8389
309.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6787
250.6 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5949
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
947
16.4 IPS |
