iPhone17,1
Geekbench AI Score
4559
Single Precision Score
32146
Half Precision Score
44365
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 27 2024 07:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2004
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
15263
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20014
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14708
238.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18307
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8860
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152419
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291648
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16347
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22738
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3649
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
40948
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
54663
649.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7877
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95013
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160962
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24133
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245893
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301908
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5686
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50920
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84814
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4670
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9262
159.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11358
196.3 IPS |
