iPhone17,2
Geekbench AI Score
5927
Single Precision Score
6788
Half Precision Score
5982
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 01 2024 10:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2965
551.4 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.3 IPS |
|
|
Image Classification (Q)
|
97% |
2756
514.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3425
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4431
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4423
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15778
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16511
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15566
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3274
259.7 IPS |
|
|
Object Detection (HP)
|
100% |
3480
276.1 IPS |
|
|
Object Detection (Q)
|
91% |
2842
227.1 IPS |
|
|
Face Detection (SP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
10535
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
7120
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13360
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14402
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12126
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30259
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39423
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37042
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7855
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8376
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6531
241.2 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
891
15.4 IPS |
