iPhone17,1
Geekbench AI Score
4363
Single Precision Score
7575
Half Precision Score
6011
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jayt |
| Upload Date | September 29 2024 12:44 AM |
| Views | 7 |
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% |
1995
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
3360
624.9 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14621
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2019
160.1 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7343
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7314
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13300
102.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9284
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22644
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36118
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29295
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6916
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6918
119.5 IPS |
