iPhone 16 Pro
Geekbench AI Score
5738
Single Precision Score
6366
Half Precision Score
6000
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 30 2025 02:14 PM |
| Views | 4 |
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% |
2942
547.0 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.6 IPS |
|
|
Image Classification (Q)
|
97% |
2766
516.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3499
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4371
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15575
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16495
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15643
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3213
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3571
283.2 IPS |
|
|
Object Detection (Q)
|
91% |
2792
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
7998
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
10920
129.7 IPS |
|
|
Face Detection (Q)
|
100% |
7628
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13972
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15136
116.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12094
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32196
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37574
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37223
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7470
275.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7037
259.8 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5870
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
813
14.0 IPS |
