iPhone17,1
Geekbench AI Score
4516
Single Precision Score
31650
Half Precision Score
45684
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:41 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
15356
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
22309
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18141
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23981
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8665
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
151883
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294195
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
100% |
16443
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22846
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
41251
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
59524
707.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7789
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95779
737.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160015
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23659
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245229
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300087
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50354
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85579
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9787
168.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11277
194.9 IPS |
