iPhone17,1
Geekbench AI Score
4481
Single Precision Score
32353
Half Precision Score
44977
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | southface |
| Upload Date | October 16 2024 01:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
15178
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20191
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14679
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18346
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
151535
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291428
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2130
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
16584
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22529
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41341
491.2 IPS |
|
|
Face Detection (Q)
|
100% |
58262
692.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7657
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95136
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
164250
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23363
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246222
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303222
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50678
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84914
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4953
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9531
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
