iPhone17,1
Geekbench AI Score
5849
Single Precision Score
6827
Half Precision Score
6088
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 27 2024 07:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3026
562.8 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.2 IPS |
|
|
Image Classification (Q)
|
97% |
2632
491.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3571
57.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4424
71.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4335
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15846
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16530
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15304
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3263
258.8 IPS |
|
|
Object Detection (HP)
|
100% |
3506
278.1 IPS |
|
|
Object Detection (Q)
|
91% |
2878
230.0 IPS |
|
|
Face Detection (SP)
|
100% |
7766
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
7393
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13573
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14513
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11431
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33407
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39723
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35225
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8087
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8446
311.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5831
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1007
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1171
20.2 IPS |
