iPhone17,2
Geekbench AI Score
5686
Single Precision Score
6719
Half Precision Score
5914
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3094
575.4 IPS |
|
|
Image Classification (HP)
|
100% |
3006
559.1 IPS |
|
|
Image Classification (Q)
|
97% |
2731
509.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4392
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4322
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15549
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16400
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15434
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3315
263.0 IPS |
|
|
Object Detection (HP)
|
100% |
3415
270.8 IPS |
|
|
Object Detection (Q)
|
91% |
2832
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
7663
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10565
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
7040
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13103
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14793
114.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12137
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32657
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36742
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
36959
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7966
294.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8380
309.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6761
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
804
13.9 IPS |
