iPhone17,1
Geekbench AI Score
4518
Single Precision Score
32484
Half Precision Score
44875
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 03:04 AM |
| Views | 12 |
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% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
15477
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20416
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14736
238.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18368
297.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8687
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
152346
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292526
342.9 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16350
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22381
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41246
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
54889
652.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7710
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95422
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160610
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23597
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246542
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300114
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50119
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84517
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4956
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5200
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9556
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11601
200.5 IPS |
