iPhone 15 Pro
Geekbench AI Score
4016
Single Precision Score
6913
Half Precision Score
5648
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:41 AM |
| Views | 2 |
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% |
1725
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
2943
547.4 IPS |
|
|
Image Classification (Q)
|
96% |
2020
377.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
16922
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14736
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1803
143.1 IPS |
|
|
Object Detection (HP)
|
97% |
3374
268.6 IPS |
|
|
Object Detection (Q)
|
94% |
2368
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6775
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3889
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13662
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9362
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21477
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32940
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27720
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4406
162.7 IPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6077
105.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6084
105.1 IPS |
