iPhone17,2
Geekbench AI Score
5813
Single Precision Score
6774
Half Precision Score
6294
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
3014
560.5 IPS |
|
|
Image Classification (HP)
|
100% |
2674
497.2 IPS |
|
|
Image Classification (Q)
|
97% |
2879
537.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3344
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4404
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15871
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16464
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15674
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3321
263.4 IPS |
|
|
Object Detection (HP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (Q)
|
91% |
3114
248.8 IPS |
|
|
Face Detection (SP)
|
100% |
7827
93.0 IPS |
|
|
Face Detection (HP)
|
100% |
10703
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
7140
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13478
103.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14455
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12511
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33227
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39524
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36052
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8108
299.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8356
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6809
251.4 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1214
21.0 IPS |
