iPhone17,1
Geekbench AI Score
5573
Single Precision Score
6075
Half Precision Score
5908
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2896
538.6 IPS |
|
|
Image Classification (HP)
|
100% |
1647
306.3 IPS |
|
|
Image Classification (Q)
|
97% |
2912
543.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4313
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4111
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10545
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16332
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12483
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
3161
250.7 IPS |
|
|
Object Detection (HP)
|
100% |
3023
239.8 IPS |
|
|
Object Detection (Q)
|
91% |
3069
245.2 IPS |
|
|
Face Detection (SP)
|
100% |
8142
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
8861
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
7909
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13609
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14555
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13278
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32493
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34249
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27584
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8130
300.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8370
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6943
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
938
16.2 IPS |
