iPhone17,2
Geekbench AI Score
5799
Single Precision Score
6673
Half Precision Score
6247
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 02 2024 01:53 PM |
| Views | 8 |
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% |
2851
530.2 IPS |
|
|
Image Classification (HP)
|
100% |
2342
435.6 IPS |
|
|
Image Classification (Q)
|
97% |
2919
544.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3439
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4451
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4436
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15852
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16571
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15675
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3504
277.9 IPS |
|
|
Object Detection (Q)
|
91% |
2856
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
7889
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
10753
127.8 IPS |
|
|
Face Detection (Q)
|
100% |
7143
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13447
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14924
115.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12107
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33052
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39580
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36930
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8087
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8314
307.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6744
249.0 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6050
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
