iPhone17,1
Geekbench AI Score
5773
Single Precision Score
6778
Half Precision Score
6033
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | November 24 2024 01:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2785
517.9 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
97% |
2648
494.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4350
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15672
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16500
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15574
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (HP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
8082
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
10568
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
7141
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13375
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14421
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12662
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33196
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39458
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36283
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8455
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6811
251.5 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
962
16.6 IPS |
