iPhone17,1
Geekbench AI Score
4609
Single Precision Score
33329
Half Precision Score
46536
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
15244
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21134
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18405
298.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24179
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9097
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154322
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
295587
346.4 IPS |
|
|
Object Detection (SP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (HP)
|
100% |
16448
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22393
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3695
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41239
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
59304
704.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96125
740.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161182
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24271
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244454
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298633
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52912
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84494
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5039
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9430
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11589
200.3 IPS |
