iPhone17,3
Geekbench AI Score
4210
Single Precision Score
7278
Half Precision Score
5813
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1924
357.8 IPS |
|
|
Image Classification (HP)
|
100% |
3177
590.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3256
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8114
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
16957
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14196
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (HP)
|
97% |
3672
292.4 IPS |
|
|
Object Detection (Q)
|
94% |
2577
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3855
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13314
102.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9183
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22105
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35523
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29214
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6752
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4689
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5877
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
