iPhone17,1
Geekbench AI Score
4558
Single Precision Score
32489
Half Precision Score
45141
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auroraxe |
| Upload Date | October 20 2024 01:59 PM |
| Views | 4 |
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% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
15742
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
23367
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14744
239.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18382
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8858
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154055
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292248
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
100% |
16229
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22563
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41137
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
54937
652.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7793
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95813
738.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162838
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24069
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244408
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300630
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5697
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49994
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83950
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9460
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11408
197.2 IPS |
