iPhone17,2
Geekbench AI Score
5662
Single Precision Score
6572
Half Precision Score
5975
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dudleynyc |
| Upload Date | December 01 2024 11:30 PM |
| Views | 4 |
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% |
2938
546.4 IPS |
|
|
Image Classification (HP)
|
100% |
2488
462.8 IPS |
|
|
Image Classification (Q)
|
97% |
2786
520.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4411
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4381
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15529
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16453
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15488
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3475
275.7 IPS |
|
|
Object Detection (Q)
|
91% |
3105
248.1 IPS |
|
|
Face Detection (SP)
|
100% |
7474
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
10652
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7070
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13217
101.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14383
110.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
12011
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32617
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37208
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35337
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7961
294.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8369
309.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6719
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5939
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5910
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
830
14.3 IPS |
