iPhone 15 Pro
Geekbench AI Score
3892
Single Precision Score
6788
Half Precision Score
5541
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | katsuhiro67 |
| Upload Date | November 24 2024 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1726
320.9 IPS |
|
|
Image Classification (HP)
|
100% |
2913
541.7 IPS |
|
|
Image Classification (Q)
|
96% |
2015
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3052
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7751
9.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15674
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13692
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
97% |
3337
265.7 IPS |
|
|
Object Detection (Q)
|
94% |
2339
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3824
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6881
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13216
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9063
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20310
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31822
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26884
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4344
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5601
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6045
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6116
105.7 IPS |
