iPhone17,2
Geekbench AI Score
4108
Single Precision Score
7156
Half Precision Score
5632
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 01:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.3 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3139
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7633
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15410
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13106
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (HP)
|
97% |
3537
281.5 IPS |
|
|
Object Detection (Q)
|
94% |
2412
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3721
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12505
96.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8448
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20585
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32760
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26812
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6532
241.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4486
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6664
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6758
116.8 IPS |
