iPhone 16 Pro
Geekbench AI Score
4595
Single Precision Score
7800
Half Precision Score
6239
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | December 17 2024 08:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2046
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9180
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18458
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15708
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7542
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7868
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14354
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10011
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24201
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37959
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30966
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3464
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5901
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5868
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7099
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.6 IPS |
