iPhone17,2
Geekbench AI Score
5752
Single Precision Score
6731
Half Precision Score
5902
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ApolloZero |
| Upload Date | December 02 2024 10:13 PM |
| Views | 6 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.6 IPS |
|
|
Image Classification (Q)
|
97% |
2849
531.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3351
54.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4387
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15617
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16380
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15445
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3703
293.7 IPS |
|
|
Object Detection (Q)
|
91% |
2837
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
8082
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
10600
126.0 IPS |
|
|
Face Detection (Q)
|
100% |
7127
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13486
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14346
110.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12043
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32716
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39162
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35250
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7890
291.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8428
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6743
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5851
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
787
13.6 IPS |
