iPhone17,3
Geekbench AI Score
4110
Single Precision Score
7140
Half Precision Score
5655
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jlwarlow |
| Upload Date | September 28 2024 07:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1922
357.5 IPS |
|
|
Image Classification (HP)
|
100% |
3202
595.6 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3188
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16323
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14116
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
97% |
3575
284.6 IPS |
|
|
Object Detection (Q)
|
94% |
2530
201.7 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6614
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3739
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6991
53.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12745
98.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8865
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21278
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34654
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27746
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6578
242.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4239
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5926
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5829
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5833
100.8 IPS |
