iPhone17,2
Geekbench AI Score
3984
Single Precision Score
7099
Half Precision Score
5632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | October 27 2024 12:46 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1851
344.3 IPS |
|
|
Image Classification (HP)
|
100% |
3322
617.9 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3064
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
14946
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13063
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3459
275.4 IPS |
|
|
Object Detection (Q)
|
94% |
2392
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
6537
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3663
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6591
50.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12114
93.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8606
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20013
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33088
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27000
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4734
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6591
243.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6053
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5969
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6558
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6715
116.0 IPS |
