iPhone 15 Pro
Geekbench AI Score
3686
Single Precision Score
5459
Half Precision Score
4731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 11:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2074
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7545
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15701
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13777
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
2551
203.1 IPS |
|
|
Object Detection (Q)
|
94% |
1980
157.8 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
4885
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3128
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9539
73.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7144
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19836
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30347
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25576
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4589
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4401
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5300
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5195
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4533
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4583
79.2 IPS |
