iPhone 16 Pro
Geekbench AI Score
6076
Single Precision Score
6712
Half Precision Score
6768
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | huxiaoxi |
| Upload Date | May 26 2025 05:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2953
549.1 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.7 IPS |
|
|
Image Classification (Q)
|
96% |
2984
557.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4338
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4801
77.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4650
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15307
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16825
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16696
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3124
247.8 IPS |
|
|
Object Detection (HP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (Q)
|
92% |
3365
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
8035
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
10892
129.4 IPS |
|
|
Face Detection (Q)
|
100% |
8753
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13726
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15344
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13608
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32051
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38666
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39090
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7731
285.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8107
299.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7499
276.9 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5891
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
