iPhone 15 Pro
Geekbench AI Score
3889
Single Precision Score
6730
Half Precision Score
5526
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jw154j |
| Upload Date | September 23 2024 08:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2898
539.0 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2378
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7712
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
15872
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13887
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
97% |
3315
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6628
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3757
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6817
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13133
101.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9054
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20457
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31596
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26780
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4760
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5449
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6022
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6196
107.1 IPS |
