iPhone17,1
Geekbench AI Score
4538
Single Precision Score
31990
Half Precision Score
44241
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | yongjie |
| Upload Date | September 28 2024 03:30 PM |
| Views | 9 |
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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
15140
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20190
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14767
239.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18336
297.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154465
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292222
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
16314
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22782
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41190
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
55305
657.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95162
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162766
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23745
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244841
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300688
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50892
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85801
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4289
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4321
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9511
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11615
200.7 IPS |
