iPhone 15 Pro
Geekbench AI Score
3987
Single Precision Score
6928
Half Precision Score
5650
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 01:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1662
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3082
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8282
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
16739
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14447
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3367
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3909
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7181
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13583
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9385
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21381
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32824
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27793
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4992
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6175
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5680
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6086
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6063
104.8 IPS |
