iPhone 16 Pro
Geekbench AI Score
4632
Single Precision Score
7793
Half Precision Score
6269
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 25 2025 05:11 AM |
| Views | 19 |
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% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9399
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18365
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15479
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7555
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4205
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8181
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13365
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20686
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37667
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30803
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7336
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6041
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4086
70.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7333
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7310
126.3 IPS |
