iPhone 16 Pro
Geekbench AI Score
5835
Single Precision Score
6814
Half Precision Score
6104
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | xtoofur |
| Upload Date | December 24 2024 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3024
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.4 IPS |
|
|
Image Classification (Q)
|
97% |
2928
546.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4416
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15959
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16707
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15978
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3251
257.9 IPS |
|
|
Object Detection (HP)
|
100% |
3525
279.6 IPS |
|
|
Object Detection (Q)
|
91% |
2940
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
8064
95.8 IPS |
|
|
Face Detection (HP)
|
100% |
10826
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
7278
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13749
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15018
115.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12656
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33626
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39885
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37010
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8204
302.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8498
313.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6947
256.5 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5782
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
