iPhone 16 Pro
Geekbench AI Score
4500
Single Precision Score
33330
Half Precision Score
45798
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 28 2025 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2046
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
15414
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20257
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18471
299.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24075
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
153424
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292513
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
16180
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22648
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3955
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
41196
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
58949
700.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8088
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96627
744.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163654
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
19390
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244886
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302819
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4720
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50007
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84994
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4914
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4686
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9993
172.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10799
186.6 IPS |
