iPhone 15 Pro
Geekbench AI Score
3802
Single Precision Score
5556
Half Precision Score
4804
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 10:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1741
323.7 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1648
307.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2090
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8169
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16773
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14565
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
2020
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5037
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3216
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6449
49.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
9808
75.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7383
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20697
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30866
39.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26026
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4441
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4578
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4551
78.6 IPS |
