iPhone 15 Pro
Geekbench AI Score
3905
Single Precision Score
6770
Half Precision Score
5557
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 06:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.3 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7821
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
15892
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13880
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
3356
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
3839
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6878
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13286
102.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9218
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20887
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32081
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27044
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4335
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6039
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6074
105.0 IPS |
