iPhone17,2
Geekbench AI Score
4511
Single Precision Score
7740
Half Precision Score
6179
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | adhame95 |
| Upload Date | September 29 2024 08:49 AM |
| Views | 6 |
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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.2 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8429
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
17905
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15270
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7432
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4199
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14192
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9877
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24033
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37528
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31060
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5844
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7032
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7112
122.9 IPS |
