iPhone 15 Pro
Geekbench AI Score
3757
Single Precision Score
6670
Half Precision Score
5356
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 01:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2008
375.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2936
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7208
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
15177
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13169
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2226
177.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6554
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3651
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6531
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12800
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8653
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19313
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30653
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25924
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4480
165.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4178
154.3 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6003
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6038
104.3 IPS |
