iPhone17,2
Geekbench AI Score
4246
Single Precision Score
7356
Half Precision Score
5721
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RaySajuuk |
| Upload Date | September 29 2024 10:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7977
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
16545
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14116
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
97% |
3692
294.0 IPS |
|
|
Object Detection (Q)
|
94% |
2549
203.1 IPS |
|
|
Face Detection (SP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7177
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
3957
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6861
52.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13055
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8687
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21482
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34323
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28345
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6797
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4576
169.0 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5900
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6260
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5320
91.9 IPS |
