iPhone17,1
Geekbench AI Score
4477
Single Precision Score
7677
Half Precision Score
6123
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 21 2024 02:03 PM |
| Views | 2 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8548
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
17954
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15078
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4108
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7587
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13902
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23435
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36988
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30194
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7107
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7094
122.6 IPS |
