iPhone17,1
Geekbench AI Score
5739
Single Precision Score
6672
Half Precision Score
5942
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | holgr |
| Upload Date | September 21 2024 09:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2681
498.6 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (Q)
|
97% |
2814
525.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4385
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4362
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15659
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16437
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15492
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3233
256.4 IPS |
|
|
Object Detection (HP)
|
100% |
3551
281.7 IPS |
|
|
Object Detection (Q)
|
91% |
2832
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
7706
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10511
124.9 IPS |
|
|
Face Detection (Q)
|
100% |
7046
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13383
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14420
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11984
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32746
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38951
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36979
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7970
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8216
303.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6857
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5888
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
809
14.0 IPS |
