iPhone17,2
Geekbench AI Score
4196
Single Precision Score
7295
Half Precision Score
5743
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ajejje |
| Upload Date | October 11 2024 04:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1976
367.5 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2250
420.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3127
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7590
8.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15400
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13170
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
97% |
3591
285.9 IPS |
|
|
Object Detection (Q)
|
94% |
2489
198.4 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6880
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
3757
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6769
52.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12564
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8939
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21042
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34545
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27834
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6716
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4566
168.6 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6770
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
