iPhone17,1
Geekbench AI Score
4475
Single Precision Score
7668
Half Precision Score
6135
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | November 24 2024 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8519
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17573
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14765
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.7 IPS |
|
|
Object Detection (HP)
|
97% |
3791
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7515
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7492
57.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14075
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9742
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23297
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36704
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30242
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5477
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6894
254.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7079
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7059
122.0 IPS |
