iPhone 16 Pro
Geekbench AI Score
5786
Single Precision Score
6629
Half Precision Score
5990
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 16 2025 06:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2879
535.4 IPS |
|
|
Image Classification (HP)
|
100% |
2435
452.8 IPS |
|
|
Image Classification (Q)
|
97% |
2806
523.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4419
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4379
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15657
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16481
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15620
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3588
284.6 IPS |
|
|
Object Detection (Q)
|
91% |
2959
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
8180
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
10946
130.1 IPS |
|
|
Face Detection (Q)
|
100% |
7628
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14053
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15162
116.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12239
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32727
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39438
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37327
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8138
300.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8544
315.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6753
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
757
13.1 IPS |
