iPhone 15 Pro
Geekbench AI Score
3874
Single Precision Score
25516
Half Precision Score
33775
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1720
319.9 IPS |
|
|
Image Classification (HP)
|
100% |
11757
2.19 KIPS |
|
|
Image Classification (Q)
|
97% |
14723
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16042
260.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
21048
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7681
8.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104590
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
203807
238.9 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
13900
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19020
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
35382
420.4 IPS |
|
|
Face Detection (Q)
|
100% |
52369
622.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6780
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78493
604.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129564
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20172
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201646
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
251160
324.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34399
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60185
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2098
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6484
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7475
129.2 IPS |
