iPhone17,1
Geekbench AI Score
4489
Single Precision Score
32118
Half Precision Score
44632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | September 23 2024 10:09 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
15157
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20296
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14702
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18285
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8524
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
153395
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292135
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.5 IPS |
|
|
Object Detection (HP)
|
100% |
16136
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22134
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
40132
476.9 IPS |
|
|
Face Detection (Q)
|
100% |
54782
650.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7668
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94888
731.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161706
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23369
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244608
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
301666
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49470
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86424
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4863
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4966
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9451
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11399
197.0 IPS |
