iPhone 16 Pro
Geekbench AI Score
4528
Single Precision Score
7703
Half Precision Score
6141
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | May 26 2025 05:35 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.6 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17364
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14813
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2626
209.3 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7359
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4103
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13988
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9772
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19533
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36311
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30273
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5169
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5903
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5834
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7300
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7332
126.7 IPS |
