iPhone17,2
Geekbench AI Score
4555
Single Precision Score
32938
Half Precision Score
45910
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:31 PM |
| Views | 15 |
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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
15291
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19169
3.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24075
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9050
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154797
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294380
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
16285
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23471
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41820
496.9 IPS |
|
|
Face Detection (Q)
|
100% |
57809
686.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8015
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95769
737.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160633
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24510
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245636
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
306629
395.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51747
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85597
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4672
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9566
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
