iPhone 16 Pro
Geekbench AI Score
6091
Single Precision Score
6986
Half Precision Score
6717
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mesoblaste |
| Upload Date | May 26 2025 09:26 AM |
| Views | 22 |
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% |
2969
552.1 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.1 IPS |
|
|
Image Classification (Q)
|
96% |
3147
587.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4431
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4909
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4706
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15696
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17005
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16769
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3112
246.8 IPS |
|
|
Object Detection (HP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (Q)
|
92% |
3033
242.1 IPS |
|
|
Face Detection (SP)
|
100% |
7566
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10615
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8428
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13466
103.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14657
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13866
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32750
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37799
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38954
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8007
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8178
302.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7619
281.3 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1226
21.2 IPS |
