iPhone17,2
Geekbench AI Score
4462
Single Precision Score
7682
Half Precision Score
6142
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | September 27 2024 06:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.2 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18125
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15127
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7338
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7592
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13884
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9608
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36814
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30467
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6853
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7012
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
