iPhone17,2
Geekbench AI Score
5785
Single Precision Score
6706
Half Precision Score
5983
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
3017
561.1 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.2 IPS |
|
|
Image Classification (Q)
|
97% |
2930
546.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4415
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4369
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15674
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16450
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15455
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3174
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (Q)
|
91% |
3113
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
7755
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
10555
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
7066
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13230
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14311
110.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12326
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32711
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39359
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36138
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8409
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6736
248.7 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5879
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
763
13.2 IPS |
