iPhone17,2
Geekbench AI Score
5716
Single Precision Score
6839
Half Precision Score
6018
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 08:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2825
525.4 IPS |
|
|
Image Classification (HP)
|
100% |
3006
559.1 IPS |
|
|
Image Classification (Q)
|
97% |
2887
538.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4380
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16545
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15614
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3346
265.4 IPS |
|
|
Object Detection (HP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (Q)
|
91% |
3116
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
7565
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10630
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13333
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14898
114.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12499
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32850
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39489
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35962
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7992
295.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8447
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6749
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
