iPhone17,2
Geekbench AI Score
4212
Single Precision Score
7415
Half Precision Score
5930
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | TurbulantCalm |
| Upload Date | September 20 2024 05:09 PM |
| Views | 3 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1947
362.1 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3230
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16923
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14441
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1969
156.2 IPS |
|
|
Object Detection (HP)
|
97% |
3648
290.4 IPS |
|
|
Object Detection (Q)
|
94% |
2541
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6922
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3873
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13093
101.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9582
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19425
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33504
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28356
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6782
250.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4731
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6956
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6957
120.2 IPS |
