iPhone17,2
Geekbench AI Score
4353
Single Precision Score
32051
Half Precision Score
44593
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amoudruz |
| Upload Date | October 01 2024 06:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
15046
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
21240
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14670
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18278
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8246
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
151972
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291399
341.5 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
16092
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22691
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
55216
656.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7497
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94846
730.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159898
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22936
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246228
316.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300852
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5453
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50593
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85119
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4701
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9526
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11398
197.0 IPS |
