iPhone 16 Pro
Geekbench AI Score
5822
Single Precision Score
6796
Half Precision Score
6124
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | January 31 2025 03:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2988
555.7 IPS |
|
|
Image Classification (HP)
|
100% |
2816
523.7 IPS |
|
|
Image Classification (Q)
|
97% |
2890
539.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3488
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4446
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4431
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15889
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16556
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15700
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (Q)
|
91% |
2847
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
7997
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
10941
130.0 IPS |
|
|
Face Detection (Q)
|
100% |
7272
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13608
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14544
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12671
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33226
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38059
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36149
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8113
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8488
313.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6836
252.4 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6020
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.4 IPS |
