iPhone 16 Pro
Geekbench AI Score
4602
Single Precision Score
7823
Half Precision Score
6210
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mesoblaste |
| Upload Date | May 26 2025 09:24 AM |
| Views | 9 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9237
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18238
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15213
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2643
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
3922
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7526
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14291
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9793
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20203
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37161
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30318
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7334
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5200
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5858
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4262
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7434
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
