iPhone17,2
Geekbench AI Score
4462
Single Precision Score
7651
Half Precision Score
6098
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | luboznaiko |
| Upload Date | September 21 2024 06:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1986
369.4 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8634
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17711
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15093
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2102
166.7 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2622
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7563
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13799
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9575
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23312
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36873
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30106
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5530
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3772
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6982
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
