iPhone17,1
Geekbench AI Score
4423
Single Precision Score
7631
Half Precision Score
6110
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:39 PM |
| Views | 1 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8397
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17373
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14726
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4154
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7387
56.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13657
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9573
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23086
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36156
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29649
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6687
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4822
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3779
65.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6924
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
