iPhone17,2
Geekbench AI Score
5688
Single Precision Score
6685
Half Precision Score
5996
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | minwooy2k |
| Upload Date | September 23 2024 07:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2951
548.8 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.7 IPS |
|
|
Image Classification (Q)
|
97% |
2620
488.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3353
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4404
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4319
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15636
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16508
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15193
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3156
250.3 IPS |
|
|
Object Detection (HP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (Q)
|
91% |
2707
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (HP)
|
100% |
10389
123.4 IPS |
|
|
Face Detection (Q)
|
100% |
7259
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13357
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14402
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11380
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32609
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39398
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35182
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7994
295.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8395
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6716
248.0 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5894
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1122
19.4 IPS |
