iPhone17,1
Geekbench AI Score
5837
Single Precision Score
6497
Half Precision Score
6104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:47 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% |
2983
554.8 IPS |
|
|
Image Classification (HP)
|
100% |
1797
334.3 IPS |
|
|
Image Classification (Q)
|
97% |
2886
538.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3501
56.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4411
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15655
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15478
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3724
295.4 IPS |
|
|
Object Detection (Q)
|
91% |
2910
232.6 IPS |
|
|
Face Detection (SP)
|
100% |
8325
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (Q)
|
100% |
7818
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14066
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15308
117.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13235
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32825
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37888
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36866
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7989
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8408
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5794
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
827
14.3 IPS |
