Acer Aspire C27-195ES
Geekbench AI Score
2110
Single Precision Score
2133
Half Precision Score
5564
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | November 18 2024 02:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Acer Aspire C27-195ES |
| Motherboard | Acer Aspire C27-195ES |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1182
219.8 IPS |
|
|
Image Classification (Q)
|
100% |
3636
676.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3268
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
11550
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
88% |
3621
290.3 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (Q)
|
100% |
7728
91.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3849
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3811
29.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9215
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9098
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9385
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31905
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6106
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
592
790.7 IPS |
|
|
Text Classification (HP)
|
100% |
611
816.1 IPS |
|
|
Text Classification (Q)
|
92% |
2417
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1918
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1931
33.3 IPS |
