iPhone17,2
Geekbench AI Score
5534
Single Precision Score
6668
Half Precision Score
5901
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 11:58 PM |
| 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% |
2728
507.3 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.1 IPS |
|
|
Image Classification (Q)
|
97% |
2911
543.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4402
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15487
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16392
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15376
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3093
245.3 IPS |
|
|
Object Detection (HP)
|
100% |
3450
273.7 IPS |
|
|
Object Detection (Q)
|
91% |
2790
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
7303
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
10577
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
7074
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13059
100.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14679
113.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11856
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32515
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39294
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35936
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7933
292.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8252
304.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6575
242.8 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5864
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
802
13.9 IPS |
