iPhone17,2
Geekbench AI Score
4468
Single Precision Score
32322
Half Precision Score
45055
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | esahins |
| Upload Date | November 12 2024 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
15485
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20905
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14691
238.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18323
297.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8459
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
154308
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292162
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
16311
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22491
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3563
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
41917
498.1 IPS |
|
|
Face Detection (Q)
|
100% |
58736
697.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7818
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95293
734.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161081
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23730
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
247703
318.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302826
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5484
202.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50149
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86683
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4723
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9277
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11391
196.9 IPS |
