iPhone17,1
Geekbench AI Score
4504
Single Precision Score
32582
Half Precision Score
45058
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 27 2024 12:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
15787
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21023
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14678
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18348
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
154480
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292154
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
100% |
16479
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22650
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41184
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
55309
657.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7838
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95335
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
161907
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23897
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
247396
318.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304454
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51705
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86554
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9490
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11513
199.0 IPS |
