iPhone17,1
Geekbench AI Score
4428
Single Precision Score
7643
Half Precision Score
6091
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:11 AM |
| Views | 9 |
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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8567
10.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
17487
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15099
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.9 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3455
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7360
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4131
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7457
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13666
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9501
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23222
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36153
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29811
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4824
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6013
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7000
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
