iPhone17,2
Geekbench AI Score
4509
Single Precision Score
7731
Half Precision Score
6183
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2900
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18385
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15573
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3519
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7413
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7789
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9795
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23919
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37512
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30829
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6926
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6964
120.3 IPS |
