iPhone 16 Pro
Geekbench AI Score
5769
Single Precision Score
6679
Half Precision Score
5922
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | December 04 2024 06:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.5 IPS |
|
|
Image Classification (Q)
|
97% |
2637
492.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3574
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4379
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15743
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16395
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15569
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (Q)
|
91% |
2987
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
7784
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
10658
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7128
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13645
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14416
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12155
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33078
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39508
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36508
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8100
299.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8407
310.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6868
253.6 IPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5808
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
