iPhone17,1
Geekbench AI Score
5622
Single Precision Score
6325
Half Precision Score
6015
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | luc9488 |
| Upload Date | September 24 2024 01:36 AM |
| Views | 20 |
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% |
2912
541.5 IPS |
|
|
Image Classification (HP)
|
100% |
1766
328.4 IPS |
|
|
Image Classification (Q)
|
97% |
2797
522.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4405
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4378
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15588
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16377
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15403
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3436
272.5 IPS |
|
|
Object Detection (Q)
|
91% |
2838
226.8 IPS |
|
|
Face Detection (SP)
|
100% |
7525
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
10666
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7067
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13274
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14235
109.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11993
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32240
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39237
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
37003
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7980
294.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8289
306.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6815
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5682
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |
