iPhone 15 Pro
Geekbench AI Score
3982
Single Precision Score
24168
Half Precision Score
31654
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 02:47 AM |
| 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% |
1665
309.6 IPS |
|
|
Image Classification (HP)
|
100% |
11282
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14759
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12938
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16049
260.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7978
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
106168
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
203713
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1797
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13852
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19109
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
33669
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
50249
597.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78735
606.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127054
993.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21273
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206093
264.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247363
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4952
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34190
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55667
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2806
3.75 KIPS |
|
|
Text Classification (Q)
|
93% |
1717
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6043
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7257
125.4 IPS |
