iPhone17,2
Geekbench AI Score
4531
Single Precision Score
7753
Half Precision Score
6211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Chally3411 |
| Upload Date | October 08 2024 07:09 PM |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3385
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9027
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18440
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7784
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14024
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9821
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24269
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37655
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30660
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6948
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7009
121.1 IPS |
