iPhone 15 Pro
Geekbench AI Score
5055
Single Precision Score
5719
Half Precision Score
5343
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:26 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% |
2003
372.5 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
97% |
1853
345.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3959
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4054
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14942
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14722
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
2871
227.7 IPS |
|
|
Object Detection (Q)
|
91% |
2559
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
6784
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8603
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
6285
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12150
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12960
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10957
85.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29171
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31799
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33664
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6529
241.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6767
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5641
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5690
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
905
15.6 IPS |
