iPhone17,1
Geekbench AI Score
4199
Single Precision Score
7279
Half Precision Score
5843
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2583
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6815
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14632
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13977
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2594
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3452
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7429
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4060
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7277
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13460
104.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9278
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22870
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36020
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29598
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5329
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6012
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6852
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6856
118.5 IPS |
