iPhone17,2
Geekbench AI Score
4436
Single Precision Score
7661
Half Precision Score
6077
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:13 PM |
| Views | 34 |
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 | 4.02 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
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2281
426.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3294
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8588
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17723
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15121
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
97% |
3726
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7351
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4091
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7554
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13940
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9551
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23176
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37081
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29928
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5488
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5922
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6893
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6938
119.9 IPS |
