iPhone 16 Pro
Geekbench AI Score
5862
Single Precision Score
6727
Half Precision Score
6096
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:40 PM |
| Views | 1 |
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% |
3030
563.5 IPS |
|
|
Image Classification (HP)
|
100% |
2500
464.8 IPS |
|
|
Image Classification (Q)
|
97% |
2845
530.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3554
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4426
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4381
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15787
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16559
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15651
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3199
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3525
279.6 IPS |
|
|
Object Detection (Q)
|
91% |
2868
229.2 IPS |
|
|
Face Detection (SP)
|
100% |
7921
94.1 IPS |
|
|
Face Detection (HP)
|
100% |
10729
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
7198
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13798
106.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14490
111.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12563
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33017
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39680
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35830
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8081
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6868
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
965
16.7 IPS |
