iPhone17,1
Geekbench AI Score
4278
Single Precision Score
7429
Half Precision Score
5914
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:22 AM |
| Views | 6 |
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% |
2002
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2229
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2909
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3291
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16912
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14241
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6929
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3896
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13447
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9256
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22631
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34205
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29220
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6756
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4812
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5640
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6467
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6847
118.3 IPS |
