iPhone 15 Pro
Geekbench AI Score
3981
Single Precision Score
6846
Half Precision Score
5981
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Destructico |
| Upload Date | August 15 2024 07:04 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.3 IPS |
|
|
Image Classification (Q)
|
99% |
2923
545.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8128
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16440
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14181
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
3351
266.8 IPS |
|
|
Object Detection (Q)
|
94% |
2355
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3782
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7104
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13469
104.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13593
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21182
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32358
41.6 IPS |
|
|
Style Transfer (Q)
|
100% |
32422
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4341
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6142
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6149
106.3 IPS |
