iPhone 15 Pro
Geekbench AI Score
4015
Single Precision Score
4718
Half Precision Score
4414
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (Q)
|
97% |
1238
231.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3089
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3936
63.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4077
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15056
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15805
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15077
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (Q)
|
91% |
1595
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
5422
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
6025
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11344
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12698
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10751
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28778
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34449
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32920
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4543
167.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3475
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (Q)
|
98% |
575
9.93 IPS |
