iPhone17,2
Geekbench AI Score
1944
Single Precision Score
3348
Half Precision Score
2627
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:02 PM |
| Views | 2 |
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 | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
852
158.5 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (Q)
|
96% |
921
171.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1402
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
8055
9.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
6885
8.07 IPS |
|
|
Object Detection (SP)
|
100% |
954
75.7 IPS |
|
|
Object Detection (HP)
|
97% |
1641
130.6 IPS |
|
|
Object Detection (Q)
|
94% |
1140
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
1695
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
6231
48.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4276
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9930
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15841
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12975
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2913
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3321
57.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3298
57.0 IPS |
