iPhone17,1
Geekbench AI Score
4562
Single Precision Score
7799
Half Precision Score
6198
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:13 PM |
| Views | 1 |
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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
3371
626.9 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8794
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18327
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15419
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7604
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4292
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7877
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14327
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10021
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24459
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37595
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30966
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5998
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3815
65.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7154
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7063
122.1 IPS |
