iPhone17,2
Geekbench AI Score
5762
Single Precision Score
6720
Half Precision Score
5997
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Pablolu |
| Upload Date | November 11 2024 01:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.6 IPS |
|
|
Image Classification (Q)
|
97% |
2807
523.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4365
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15725
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16531
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15571
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
3455
274.0 IPS |
|
|
Object Detection (Q)
|
91% |
3100
247.7 IPS |
|
|
Face Detection (SP)
|
100% |
7665
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10717
127.3 IPS |
|
|
Face Detection (Q)
|
100% |
7108
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13283
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14378
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12091
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32989
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39468
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35729
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8047
297.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8405
310.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6885
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
949
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
831
14.4 IPS |
