iPhone17,1
Geekbench AI Score
3742
Single Precision Score
6533
Half Precision Score
5112
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | September 30 2024 11:35 PM |
| 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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.2 IPS |
|
|
Image Classification (Q)
|
96% |
2138
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7424
8.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14003
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12294
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3378
268.9 IPS |
|
|
Object Detection (Q)
|
94% |
2209
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
2777
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
6007
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6467
49.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12316
95.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7476
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17595
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29910
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24959
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4235
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5021
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2634
45.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4737
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5030
86.9 IPS |
