iPhone 15 Pro
Geekbench AI Score
5039
Single Precision Score
5951
Half Precision Score
5331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:45 PM |
| Views | 1 |
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% |
1924
357.9 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.8 IPS |
|
|
Image Classification (Q)
|
97% |
1872
349.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3087
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4043
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15185
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15924
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15029
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2622
207.9 IPS |
|
|
Object Detection (HP)
|
100% |
2922
231.8 IPS |
|
|
Object Detection (Q)
|
91% |
2441
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
9150
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
6358
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11633
89.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13050
100.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11057
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30146
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36149
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33718
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6525
240.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6634
245.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5370
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
942
16.3 IPS |
