iPhone17,1
Geekbench AI Score
3791
Single Precision Score
6837
Half Precision Score
5456
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | September 30 2024 06:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1630
303.2 IPS |
|
|
Image Classification (HP)
|
100% |
3111
578.5 IPS |
|
|
Image Classification (Q)
|
96% |
2017
376.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2658
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
12581
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12233
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3349
266.6 IPS |
|
|
Object Detection (Q)
|
94% |
2378
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6762
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3660
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6488
50.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
12563
97.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8553
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20349
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33251
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27150
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6495
239.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5930
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5863
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6842
118.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6920
119.6 IPS |
