iPhone17,2
Geekbench AI Score
4409
Single Precision Score
7604
Half Precision Score
6061
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | November 03 2024 02:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8607
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17638
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.1 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4114
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7458
57.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13807
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9486
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23192
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35982
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29758
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4832
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5872
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6925
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6818
117.8 IPS |
