iPhone 16 Pro
Geekbench AI Score
5836
Single Precision Score
6668
Half Precision Score
6091
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 03:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
3054
567.9 IPS |
|
|
Image Classification (HP)
|
100% |
2620
487.2 IPS |
|
|
Image Classification (Q)
|
97% |
2877
536.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4384
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4348
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16537
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15689
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (Q)
|
91% |
2863
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
7971
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
10650
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
7148
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13540
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14516
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12611
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32896
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37876
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35679
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8107
299.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8476
313.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6829
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.8 IPS |
