iPhone17,1
Geekbench AI Score
4446
Single Precision Score
7683
Half Precision Score
6110
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | VampirSilphy |
| Upload Date | October 15 2024 06:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8413
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
17686
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14826
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2094
166.1 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
7489
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4131
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7548
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13885
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9536
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23230
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37011
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30404
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4879
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5810
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7060
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7060
122.0 IPS |
