iPhone 16 Pro
Geekbench AI Score
5786
Single Precision Score
6416
Half Precision Score
6072
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 11 2024 05:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2806
521.8 IPS |
|
|
Image Classification (HP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (Q)
|
97% |
2716
506.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4374
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15585
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16357
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15626
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3125
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3635
288.3 IPS |
|
|
Object Detection (Q)
|
91% |
2825
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
8028
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
10929
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
7516
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13947
107.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15098
116.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12264
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32423
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38735
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37081
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7915
292.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8207
303.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6772
250.1 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5750
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
989
17.1 IPS |
