iPhone17,1
Geekbench AI Score
4516
Single Precision Score
7667
Half Precision Score
6151
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:05 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
378.0 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.0 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8858
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17815
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15167
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7489
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14015
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23638
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36938
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30275
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5708
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5728
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7009
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7035
121.6 IPS |
