iPhone17,1
Geekbench AI Score
4501
Single Precision Score
7737
Half Precision Score
6178
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
17779
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15080
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7533
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7647
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14034
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9728
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23619
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37010
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30307
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5514
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7083
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7048
121.8 IPS |
