iPhone17,2
Geekbench AI Score
4472
Single Precision Score
7670
Half Precision Score
6133
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:35 AM |
| Views | 4 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.6 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8628
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17603
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14922
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3559
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7405
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4172
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7645
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13935
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9682
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23724
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37646
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30770
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6908
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5832
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7024
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6972
120.5 IPS |
