iPhone17,2
Geekbench AI Score
4608
Single Precision Score
33066
Half Precision Score
45932
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KEN1959 |
| Upload Date | October 21 2024 08:36 PM |
| Views | 14 |
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 | 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% |
1986
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
15241
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20262
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18309
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24142
391.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9263
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154856
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294399
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.5 IPS |
|
|
Object Detection (HP)
|
100% |
16262
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22560
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3661
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41499
493.1 IPS |
|
|
Face Detection (Q)
|
100% |
58281
692.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8023
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96019
739.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162472
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24780
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245633
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302565
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50690
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83961
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4678
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4680
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9582
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11430
197.5 IPS |
