iPhone 15 Pro
Geekbench AI Score
5038
Single Precision Score
5832
Half Precision Score
5288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RWR |
| Upload Date | November 07 2024 09:44 PM |
| Views | 14 |
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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (Q)
|
97% |
1816
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3954
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15095
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15912
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15012
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2752
218.3 IPS |
|
|
Object Detection (HP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (Q)
|
91% |
2503
200.0 IPS |
|
|
Face Detection (SP)
|
100% |
6505
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
9046
107.5 IPS |
|
|
Face Detection (Q)
|
100% |
6263
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11748
90.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12799
98.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11547
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29859
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35401
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32688
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6372
235.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6633
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5244
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
913
15.8 IPS |
