iPhone 15 Pro
Geekbench AI Score
2851
Single Precision Score
13973
Half Precision Score
17869
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 09:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (HP)
|
100% |
6169
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
7460
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5258
85.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10055
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8022
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
88242
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
152705
179.0 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.0 IPS |
|
|
Object Detection (HP)
|
100% |
8165
647.6 IPS |
|
|
Object Detection (Q)
|
93% |
9995
797.5 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
11123
132.2 IPS |
|
|
Face Detection (Q)
|
100% |
13211
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43755
337.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
58154
454.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12836
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
128078
164.6 IPS |
|
|
Style Transfer (Q)
|
96% |
137521
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4311
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18299
675.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25863
955.0 IPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
4025
5.79 KIPS |
|
|
Text Classification (Q)
|
69% |
4045
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1932
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2624
45.4 IPS |
