iPhone17,2
Geekbench AI Score
4587
Single Precision Score
32348
Half Precision Score
45044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1976
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20308
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14623
237.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18272
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154676
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292388
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
100% |
16322
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22228
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3638
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
42181
501.2 IPS |
|
|
Face Detection (Q)
|
100% |
59207
703.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8011
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95812
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161232
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24595
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246355
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302974
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50527
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87469
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4968
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9391
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11346
196.1 IPS |
