iPhone17,2
Geekbench AI Score
4460
Single Precision Score
32696
Half Precision Score
46229
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
15353
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21623
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18157
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24041
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8563
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
153365
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292772
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
16211
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22588
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
59035
701.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94882
731.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
159772
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23232
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245279
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301306
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49571
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83569
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4542
6.06 KIPS |
|
|
Text Classification (Q)
|
93% |
4804
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3741
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9349
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11368
196.5 IPS |
