iPhone17,2
Geekbench AI Score
5727
Single Precision Score
6740
Half Precision Score
6032
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:33 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% |
2956
549.7 IPS |
|
|
Image Classification (HP)
|
100% |
2737
508.9 IPS |
|
|
Image Classification (Q)
|
97% |
2891
539.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4392
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4345
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15436
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15399
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3211
254.7 IPS |
|
|
Object Detection (HP)
|
100% |
3432
272.2 IPS |
|
|
Object Detection (Q)
|
91% |
2845
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
7658
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10552
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
7080
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13119
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14798
114.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12578
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32504
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39218
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
35680
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7939
293.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8424
311.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6858
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
912
15.8 IPS |
