iPhone 16 Pro
Geekbench AI Score
4668
Single Precision Score
7868
Half Precision Score
6280
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | December 27 2024 01:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3390
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9560
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19163
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16264
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7695
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8079
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14637
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25024
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37929
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31218
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5893
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7181
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
