iPhone 15 Pro
Geekbench AI Score
4974
Single Precision Score
5938
Half Precision Score
5326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.6 IPS |
|
|
Image Classification (Q)
|
97% |
2028
378.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3791
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13275
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14103
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13242
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (Q)
|
91% |
2346
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
6269
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
8091
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
6090
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11104
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12061
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10416
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27408
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32559
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30622
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6333
233.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5492
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1488
25.7 IPS |
