iPhone 16 Pro
Geekbench AI Score
6162
Single Precision Score
7239
Half Precision Score
6849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | April 03 2025 01:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3024
562.3 IPS |
|
|
Image Classification (HP)
|
100% |
3047
566.7 IPS |
|
|
Image Classification (Q)
|
96% |
3135
585.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4505
73.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4971
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4828
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15868
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16420
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16006
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3803
301.7 IPS |
|
|
Object Detection (Q)
|
92% |
3486
278.3 IPS |
|
|
Face Detection (SP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
11002
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
8737
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13766
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14885
114.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14169
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33581
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39913
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37940
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8145
300.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8568
316.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7728
285.4 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
