iPhone 15 Pro
Geekbench AI Score
3943
Single Precision Score
6815
Half Precision Score
5582
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2890
537.5 IPS |
|
|
Image Classification (Q)
|
96% |
1994
372.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7941
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
16131
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14222
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
97% |
3382
269.2 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3840
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7003
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13523
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9255
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20863
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32246
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27358
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4415
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
3187
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3132
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6081
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6092
105.3 IPS |
