iPhone 15 Pro
Geekbench AI Score
3702
Single Precision Score
5459
Half Precision Score
4553
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
99% |
2191
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1330
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7890
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
16461
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14116
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
2565
204.2 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6354
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9619
74.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4955
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20187
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
30596
39.3 IPS |
|
|
Style Transfer (Q)
|
100% |
30453
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4727
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5729
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4365
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5206
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4424
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4392
75.9 IPS |
