iPhone 15 Pro
Geekbench AI Score
3909
Single Precision Score
6819
Half Precision Score
5563
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1717
319.4 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2014
376.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3083
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16133
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13782
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
97% |
3313
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6781
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6846
52.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13216
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9121
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20677
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31955
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27041
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4751
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5902
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6084
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6093
105.3 IPS |
