iPhone17,1
Geekbench AI Score
5764
Single Precision Score
6700
Half Precision Score
5982
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | sarre9 |
| Upload Date | September 29 2024 02:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2747
510.8 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.8 IPS |
|
|
Image Classification (Q)
|
97% |
2611
487.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4415
71.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15831
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16527
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15595
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (Q)
|
91% |
2861
228.6 IPS |
|
|
Face Detection (SP)
|
100% |
8011
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
10778
128.1 IPS |
|
|
Face Detection (Q)
|
100% |
7199
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13389
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14388
110.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12049
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33035
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37484
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35729
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8135
300.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8503
314.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6814
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
903
15.6 IPS |
