iPhone17,2
Geekbench AI Score
5798
Single Precision Score
6664
Half Precision Score
6144
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | September 22 2024 06:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2942
547.1 IPS |
|
|
Image Classification (HP)
|
100% |
2484
462.0 IPS |
|
|
Image Classification (Q)
|
97% |
2700
503.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3399
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4454
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15817
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16497
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15330
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3403
269.9 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
91% |
2863
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
7368
87.5 IPS |
|
|
Face Detection (HP)
|
100% |
10768
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7337
87.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13726
105.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14469
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11512
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33172
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39549
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36738
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8346
308.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6830
252.2 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5850
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5974
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
