iPhone17,2
Geekbench AI Score
4428
Single Precision Score
7635
Half Precision Score
6127
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 25 2024 04:25 AM |
| Views | 3 |
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% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8703
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17787
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15166
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3512
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7167
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4152
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7584
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13982
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9742
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23461
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36821
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30445
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5943
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6899
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6916
119.5 IPS |
