iPhone17,2
Geekbench AI Score
4389
Single Precision Score
32213
Half Precision Score
44544
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | September 22 2024 02:14 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1969
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
15306
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20725
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14626
237.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18259
296.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8210
9.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
147953
172.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291773
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
16385
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22524
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3480
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
41068
488.0 IPS |
|
|
Face Detection (Q)
|
100% |
55157
655.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95173
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160555
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22807
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245554
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301217
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51354
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84255
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4800
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9604
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11463
198.1 IPS |
