iPhone 15 Pro
Geekbench AI Score
3914
Single Precision Score
6805
Half Precision Score
5567
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
2885
536.6 IPS |
|
|
Image Classification (Q)
|
96% |
1990
371.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7827
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16114
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14074
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3302
262.9 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6789
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13503
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9257
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20624
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32027
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27203
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4749
175.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6043
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6057
104.7 IPS |
