iPhone17,2
Geekbench AI Score
1924
Single Precision Score
15059
Half Precision Score
20934
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | speshow168 |
| Upload Date | October 12 2024 06:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.62 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
158.9 IPS |
|
|
Image Classification (HP)
|
100% |
7885
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
10807
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8540
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11787
191.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3916
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
62412
72.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
122763
143.9 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
100% |
7594
602.4 IPS |
|
|
Object Detection (Q)
|
91% |
10116
808.3 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
18066
214.7 IPS |
|
|
Face Detection (Q)
|
100% |
24981
296.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41427
319.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
70741
553.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9918
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112824
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141621
182.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23835
880.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38166
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (Q)
|
93% |
2177
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4914
84.9 IPS |
