iPhone17,2
Geekbench AI Score
4319
Single Precision Score
7475
Half Precision Score
5927
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | minwooy2k |
| Upload Date | September 23 2024 07:11 AM |
| Views | 3 |
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% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
100% |
3312
615.9 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2818
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3151
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7977
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
16815
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14350
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2021
160.3 IPS |
|
|
Object Detection (HP)
|
97% |
3702
294.7 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3421
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
7159
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
3996
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7293
56.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13288
102.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9314
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22649
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35979
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29441
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6793
250.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5771
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5736
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6991
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7019
121.3 IPS |
