iPhone17,2
Geekbench AI Score
5670
Single Precision Score
6773
Half Precision Score
6150
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aenewton |
| Upload Date | September 22 2024 05:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2874
534.4 IPS |
|
|
Image Classification (HP)
|
100% |
2725
506.8 IPS |
|
|
Image Classification (Q)
|
97% |
2681
500.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3335
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4446
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4391
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15562
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16529
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15163
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3130
248.3 IPS |
|
|
Object Detection (HP)
|
100% |
3491
276.9 IPS |
|
|
Object Detection (Q)
|
91% |
2857
228.3 IPS |
|
|
Face Detection (SP)
|
100% |
7456
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7501
89.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13197
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14875
114.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12022
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32793
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39493
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35076
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8330
307.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6821
251.8 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
