iPhone17,1
Geekbench AI Score
4518
Single Precision Score
7763
Half Precision Score
6189
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | October 08 2024 05:43 PM |
| Views | 3 |
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% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3385
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8794
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18376
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15402
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7600
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4220
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13997
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9733
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23790
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37196
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30678
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5926
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7140
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7081
122.4 IPS |
