iPhone17,2
Geekbench AI Score
4200
Single Precision Score
32528
Half Precision Score
46097
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RaySajuuk |
| Upload Date | September 29 2024 10:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
15646
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
21131
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1811
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18139
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23809
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7269
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
139725
163.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291322
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
100% |
16255
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22793
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
41674
495.2 IPS |
|
|
Face Detection (Q)
|
100% |
59233
703.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94607
728.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159999
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21899
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244107
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303831
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50527
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83526
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4613
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4790
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9173
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11257
194.5 IPS |
