iPhone 15 Pro
Geekbench AI Score
5023
Single Precision Score
5975
Half Precision Score
5251
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1926
358.2 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.3 IPS |
|
|
Image Classification (Q)
|
97% |
1815
338.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4053
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15146
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15948
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15018
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
2828
224.4 IPS |
|
|
Object Detection (Q)
|
91% |
2447
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
6565
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
9005
107.0 IPS |
|
|
Face Detection (Q)
|
100% |
6259
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11807
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12755
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10936
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30186
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35995
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33278
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6485
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5349
197.5 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
