iPhone17,2
Geekbench AI Score
4618
Single Precision Score
7840
Half Precision Score
6257
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 04:06 PM |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9476
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19002
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16094
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7565
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8049
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14473
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10069
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24829
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37885
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31207
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7004
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3783
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7059
122.0 IPS |
