iPhone 15 Pro
Geekbench AI Score
4003
Single Precision Score
6904
Half Precision Score
5654
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1713
318.6 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.0 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3079
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16739
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14665
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3367
268.0 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6778
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3866
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7180
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13502
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9368
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21581
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33024
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27611
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4480
165.4 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5646
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6129
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
