Acer Aspire C27-195ES
Geekbench AI Score
2373
Single Precision Score
2817
Half Precision Score
1659
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gMaX |
| Upload Date | November 18 2024 02:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
1205
224.2 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (Q)
|
99% |
986
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1126
18.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7539
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
12544
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5799
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
89% |
988
79.1 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
1365
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4761
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6254
48.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
3627
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20402
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28110
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14616
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4680
172.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1963
72.7 IPS |
|
|
Text Classification (SP)
|
86% |
653
883.7 IPS |
|
|
Text Classification (HP)
|
99% |
481
642.1 IPS |
|
|
Text Classification (Q)
|
83% |
449
611.8 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
60% |
390
8.71 IPS |
