iPhone 15 Pro
Geekbench AI Score
5014
Single Precision Score
5904
Half Precision Score
5300
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MGGeekBench24 |
| Upload Date | November 06 2024 05:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1818
338.1 IPS |
|
|
Image Classification (HP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (Q)
|
97% |
1838
342.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3098
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3955
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4012
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15205
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15952
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15033
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
3092
245.2 IPS |
|
|
Object Detection (Q)
|
91% |
2380
190.2 IPS |
|
|
Face Detection (SP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
9057
107.6 IPS |
|
|
Face Detection (Q)
|
100% |
6466
76.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11709
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12796
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10941
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30086
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35974
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33247
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6615
244.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6843
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5526
204.1 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
