iPhone 15 Pro
Geekbench AI Score
2647
Single Precision Score
13752
Half Precision Score
15681
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | marlody |
| Upload Date | August 16 2024 01:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
6218
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6912
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5242
85.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5219
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7060
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
88225
102.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
128798
151.1 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
8199
650.4 IPS |
|
|
Object Detection (Q)
|
93% |
9137
729.0 IPS |
|
|
Face Detection (SP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
10813
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
12386
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4559
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42585
328.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
48994
378.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12075
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
129036
165.9 IPS |
|
|
Style Transfer (Q)
|
100% |
128435
165.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18315
676.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26341
975.9 IPS |
|
|
Text Classification (SP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
3917
5.63 KIPS |
|
|
Text Classification (Q)
|
69% |
4322
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2388
41.3 IPS |
