iPhone17,2
Geekbench AI Score
4239
Single Precision Score
7410
Half Precision Score
5853
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
3354
623.8 IPS |
|
|
Image Classification (Q)
|
96% |
2233
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3225
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16449
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14019
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1952
154.9 IPS |
|
|
Object Detection (HP)
|
97% |
3667
291.9 IPS |
|
|
Object Detection (Q)
|
94% |
2523
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
7030
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3902
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6909
53.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12827
99.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9007
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21490
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34846
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27649
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6689
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4598
169.8 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6006
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6764
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6905
119.3 IPS |
