ASUSTeK COMPUTER INC. X550CA
Geekbench AI Score
290
Single Precision Score
135
Half Precision Score
206
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | guinea7pig |
| Upload Date | May 22 2025 07:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3217U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | ASUSTeK COMPUTER INC. X550CA |
| Motherboard | ASUSTeK COMPUTER INC. X550CA |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3217U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (HP)
|
100% |
47
8.70 IPS |
|
|
Image Classification (Q)
|
97% |
120
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
152
2.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
354
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
247
0.29 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.55 IPS |
|
|
Object Detection (Q)
|
86% |
119
9.57 IPS |
|
|
Face Detection (SP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (HP)
|
100% |
111
1.32 IPS |
|
|
Face Detection (Q)
|
97% |
379
4.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
451
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
200
1.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
292
2.33 IPS |
|
|
Style Transfer (SP)
|
100% |
903
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
717
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
646
0.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
196
7.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.04 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
147
5.44 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.7 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.4 IPS |
|
|
Text Classification (Q)
|
97% |
158
212.1 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (HP)
|
100% |
128
2.21 IPS |
|
|
Machine Translation (Q)
|
65% |
161
3.24 IPS |
