iPhone17,2
Geekbench AI Score
5810
Single Precision Score
6753
Half Precision Score
5933
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 04:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
3035
564.4 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.1 IPS |
|
|
Image Classification (Q)
|
97% |
2883
538.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3378
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4465
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4434
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15739
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16508
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15548
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3371
267.4 IPS |
|
|
Object Detection (HP)
|
100% |
3515
278.8 IPS |
|
|
Object Detection (Q)
|
91% |
2875
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
7711
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10806
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7216
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13331
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14883
114.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12041
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33063
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39469
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
35495
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8054
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8466
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6813
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5886
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
769
13.3 IPS |
