iPhone17,1
Geekbench AI Score
5737
Single Precision Score
6632
Half Precision Score
6044
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | September 21 2024 02:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3033
564.1 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.4 IPS |
|
|
Image Classification (Q)
|
97% |
2609
486.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3483
56.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4405
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4306
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15675
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16506
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15238
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3325
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
3457
274.2 IPS |
|
|
Object Detection (Q)
|
91% |
2706
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
7686
91.3 IPS |
|
|
Face Detection (HP)
|
100% |
10520
125.0 IPS |
|
|
Face Detection (Q)
|
100% |
7146
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13564
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14454
111.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11316
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32519
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39366
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35508
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8372
309.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.1 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5798
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1242
21.5 IPS |
