iPhone 16 Pro
Geekbench AI Score
6070
Single Precision Score
6711
Half Precision Score
6773
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | July 31 2025 04:51 PM |
| 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% |
2906
540.4 IPS |
|
|
Image Classification (HP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (Q)
|
96% |
3065
572.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4335
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4669
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15374
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16714
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16569
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3382
268.2 IPS |
|
|
Object Detection (Q)
|
92% |
3121
249.1 IPS |
|
|
Face Detection (SP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
10872
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
8727
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13760
106.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15388
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14404
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31713
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38693
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38856
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7778
287.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8045
297.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7435
274.5 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1290
22.3 IPS |
