iPhone17,2
Geekbench AI Score
4604
Single Precision Score
32925
Half Precision Score
45704
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15386
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20488
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18327
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24017
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9236
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154890
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293944
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
16294
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22733
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41921
498.1 IPS |
|
|
Face Detection (Q)
|
100% |
57163
679.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95617
736.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163067
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24986
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245613
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304686
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51002
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84977
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4380
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4398
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9568
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11397
197.0 IPS |
