iPhone17,2
Geekbench AI Score
4500
Single Precision Score
7707
Half Precision Score
6146
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 06:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8907
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18002
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15261
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7405
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4159
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7689
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14059
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9708
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23675
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37274
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30248
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7006
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6970
120.4 IPS |
