iPhone17,2
Geekbench AI Score
4476
Single Precision Score
7667
Half Precision Score
6111
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 02:58 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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8673
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17653
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15070
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
7407
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4151
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7578
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13788
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9629
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23344
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37136
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29918
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5497
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6918
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4879
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7206
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
