iPhone17,1
Geekbench AI Score
5837
Single Precision Score
6585
Half Precision Score
6158
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2965
551.4 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
97% |
2838
529.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3588
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4425
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15691
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16447
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15423
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3219
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
3732
296.0 IPS |
|
|
Object Detection (Q)
|
91% |
3143
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
8079
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
11144
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
7805
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14061
108.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15371
118.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
13223
103.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32652
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38035
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36992
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8357
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6817
251.7 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
