iPhone17,2
Geekbench AI Score
5637
Single Precision Score
6654
Half Precision Score
5858
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | September 20 2024 04:46 PM |
| Views | 7 |
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 | 4.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3023
562.2 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.1 IPS |
|
|
Image Classification (Q)
|
97% |
2419
451.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4266
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15282
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16340
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14894
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3396
269.4 IPS |
|
|
Object Detection (Q)
|
91% |
2507
200.3 IPS |
|
|
Face Detection (SP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
10308
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
6668
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13072
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14764
113.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11286
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32399
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39004
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33338
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7942
293.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8431
311.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6734
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
3363
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
