iPhone17,2
Geekbench AI Score
4550
Single Precision Score
31812
Half Precision Score
43232
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:57 PM |
| Views | 1 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
15251
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20284
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14653
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18268
296.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9057
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154698
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292955
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
16362
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22798
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41158
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
55269
656.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7962
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95450
735.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
161221
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23895
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
247262
317.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302543
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50278
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86648
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3452
4.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9442
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11429
197.5 IPS |
