iPhone17,2
Geekbench AI Score
5809
Single Precision Score
6807
Half Precision Score
6086
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | December 02 2024 01:21 AM |
| Views | 5 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3018
561.2 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.6 IPS |
|
|
Image Classification (Q)
|
97% |
2822
526.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3337
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4398
71.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15739
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16534
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15540
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3362
266.7 IPS |
|
|
Object Detection (HP)
|
100% |
3494
277.1 IPS |
|
|
Object Detection (Q)
|
91% |
3112
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
7924
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10649
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
7124
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13336
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14406
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12104
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33046
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39521
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35761
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7955
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8392
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6848
252.8 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5975
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
