iPhone17,2
Geekbench AI Score
4266
Single Precision Score
7367
Half Precision Score
5867
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | naaajsboy |
| Upload Date | October 03 2024 07:30 AM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1978
367.8 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3270
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7939
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16731
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14153
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.7 IPS |
|
|
Object Detection (HP)
|
97% |
3606
287.1 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3408
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7003
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7131
54.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13228
102.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9249
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21963
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34700
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
26661
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6619
244.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4694
173.3 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6694
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6828
118.0 IPS |
