Acer Aspire C27-195ES
Geekbench AI Score
2079
Single Precision Score
2101
Half Precision Score
5579
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | November 18 2024 02:28 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% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.4 IPS |
|
|
Image Classification (Q)
|
100% |
3699
687.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
10295
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1144
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (Q)
|
88% |
3322
266.3 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (Q)
|
100% |
7379
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3638
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3881
29.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9479
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9281
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9422
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31877
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5978
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.1 IPS |
|
|
Text Classification (HP)
|
100% |
530
707.2 IPS |
|
|
Text Classification (Q)
|
92% |
2563
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2035
35.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2036
35.1 IPS |
