iPhone 15 Pro
Geekbench AI Score
3995
Single Precision Score
24956
Half Precision Score
34738
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1731
321.8 IPS |
|
|
Image Classification (HP)
|
100% |
11524
2.14 KIPS |
|
|
Image Classification (Q)
|
97% |
15097
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15911
257.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21021
340.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
106733
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204129
239.3 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
13772
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19179
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
34635
411.5 IPS |
|
|
Face Detection (Q)
|
100% |
51392
610.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78880
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127670
998.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21368
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202636
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
249032
321.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34096
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57542
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3017
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6194
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7261
125.5 IPS |
