iPhone 15 Pro
Geekbench AI Score
3928
Single Precision Score
6789
Half Precision Score
5569
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | calvinh |
| Upload Date | October 27 2024 06:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3075
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7996
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16250
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14085
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1779
141.1 IPS |
|
|
Object Detection (HP)
|
97% |
3361
267.6 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6796
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3846
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6889
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13428
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9186
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20785
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31949
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26979
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4398
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5806
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6073
105.0 IPS |
