iPhone 16 Pro
Geekbench AI Score
5786
Single Precision Score
6541
Half Precision Score
6084
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | returnf4lse |
| Upload Date | December 11 2024 12:45 PM |
| Views | 1 |
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% |
2975
553.2 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.8 IPS |
|
|
Image Classification (Q)
|
97% |
2873
536.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3515
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4420
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15616
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16346
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15540
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3485
276.4 IPS |
|
|
Object Detection (Q)
|
91% |
3017
241.1 IPS |
|
|
Face Detection (SP)
|
100% |
7964
94.6 IPS |
|
|
Face Detection (HP)
|
100% |
10804
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7756
92.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13993
107.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15225
117.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13170
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32739
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39108
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
36831
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7823
288.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8383
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6802
251.2 IPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
98% |
781
13.5 IPS |
