iPhone17,2
Geekbench AI Score
5718
Single Precision Score
6770
Half Precision Score
5904
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ciocan |
| Upload Date | October 12 2024 01:35 PM |
| Views | 7 |
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% |
2996
557.2 IPS |
|
|
Image Classification (HP)
|
100% |
3178
591.0 IPS |
|
|
Image Classification (Q)
|
97% |
2883
538.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4397
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4329
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15369
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16199
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15540
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3160
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
3455
274.0 IPS |
|
|
Object Detection (Q)
|
91% |
2897
231.5 IPS |
|
|
Face Detection (SP)
|
100% |
7671
91.1 IPS |
|
|
Face Detection (HP)
|
100% |
10512
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
7081
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13228
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14380
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12035
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32516
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39207
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34572
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8369
309.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
784
13.5 IPS |
