iPhone 15 Pro
Geekbench AI Score
4053
Single Precision Score
6932
Half Precision Score
5663
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1738
323.1 IPS |
|
|
Image Classification (HP)
|
100% |
2912
541.5 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17102
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14773
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
3386
269.6 IPS |
|
|
Object Detection (Q)
|
94% |
2365
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7244
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13726
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9417
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21842
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32979
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27750
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5091
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4423
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3153
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6135
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6133
106.0 IPS |
