iPhone 15 Pro
Geekbench AI Score
3689
Single Precision Score
5415
Half Precision Score
4522
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | August 15 2024 10:20 PM |
| Views | 3 |
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% |
1745
324.6 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
99% |
2204
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1416
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1331
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7837
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
16002
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13744
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1739
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
2557
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1971
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4781
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
3081
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6139
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9402
72.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4817
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19878
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30046
38.6 IPS |
|
|
Style Transfer (Q)
|
100% |
29986
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5659
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4291
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4568
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4577
79.1 IPS |
